ppxscal/embedding_network huggingface dataset:
SnapShoot: integrating semantic analysis and visualization techniques for web-based note taking system
Authors: Soichiro Iga, Makoto Shinnishi
Venue: Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60 (2006)

We have many application software today to support reading and writing respectively. However, we believe that few applications available today fully support both reading and writing process of the note taking task. This paper presents a novel prototype system called "SnapShoot". The SnapShoot system integrates existing technology - a WWW browser, an out-line processor, context-awareness - with a unique information visualization tool in support of the users who edit and manage electronic documents online. The current system composed of a web based portal to manage the users' documents and an out-line processor tool responsible for editing and visualizing the users' documents. The out-line processor tool visualizes each line of the document by the semantics of the sentence. Early user experience shows that the system provides many benefits over the current application softwares.
Finding minimum energy disjoint paths in wireless ad-hoc networks
Authors: Anand Srinivas, Eytan Modiano
Venue: Wireless Networks (2005)

We develop algorithms for finding minimum energy disjoint paths in an all-wireless network, for both the node and link-disjoint cases. Our major results include a novel polynomial time algorithm that optimally solves the minimum energy 2 link-disjoint paths problem, as well as a polynomial time algorithm for the minimum energy k node-disjoint paths problem. In addition, we present efficient heuristic algorithms for both problems. Our results show that link-disjoint paths consume substantially less energy than node-disjoint paths. We also found that the incremental energy of additional link-disjoint paths is decreasing. This finding is some what surprising due to the fact that in general networks additional paths are typically longer than the shortest path. However, in a wireless network, additional paths can be obtained at lower energy due to the broadcast nature of the wireless medium. Finally, we discuss issues regarding distributed implementation and present distributed versions of the optimal centralized algorithms presented in the paper.
A note on symplecticity of step-transition mappings for multi-step methods
Authors: Gui-Dong Dai, Yi-Fa Tang
Venue: Journal of Computational and Applied Mathematics (2006)

We prove that for a linear multi-step method Σk=0mαk Zk =τ Σk=0mβk f(Zk), even though the mappings Z0 → Z1,...,Zm-2 → Zm-1 are chosen to be symplectic, Zm-1 → Zm will be non-symplectic. Similarly, there is an interesting result for a sort of general linear methods.
A New Method to Security Electronic Commerce Protocol
Authors: Jie Yang, Hai-guang Mo, Yu-heng Long
Venue: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (2006)

We use semi-regular entities to denote the entities different from penetrates that participate in the protocol on behalf of themselves such as customers in e-commerce.
Behavioral Change and Its Neural Correlates in Visual Agnosia After Expertise Training
Authors: Marlene Behrmann, Jonathan Marotta, Isabel Gauthier, Michael J. Tarr, Thomas J. McKeeff
Venue: Journal of Cognitive Neuroscience (2005)

Agnosia, the impairment in object and face recognition despite intact vision and intelligence, is one of the most intriguing and debilitating neuropsychological deficits. The goal of this study was to determine whether S.M., an individual with longstanding visual agnosia and concomitant prosopagnosia, can be retrained to perform visual object recognition and, if so, what neural substrates mediate this reacquisition. Additionally, of interest is the extent to which training on one type of visual stimulus generalizes to other visual stimuli, as this informs our understanding of the organization of ventral visual cortex. Greebles were chosen as the stimuli for retraining given that, in neurologically normal individuals, these stimuli can engage the fusiform face area. Posttraining, S.M. showed significant improvement in recognizing Greebles, although he did not attain normal levels of performance. He was also able to recognize untrained Greebles and showed improvement in recognizing common objects. Surprisingly, his performance on face recognition, albeit poor initially, was even more impaired following training. A comparison of preand postintervention functional neuroimaging data mirrored the behavioral findings: Face-selective voxels in the fusiform gyrus prior to training were no longer so and were, in fact, more Greeble-selective. The findings indicate potential for experience-dependent dynamic reorganization in agnosia with the possibility that residual neural tissue, with limited capacity, will compete for representations.
The Tyzx DeepSea G2 Vision System, ATaskable, Embedded Stereo Camera
Authors: John Iselin Woodfill, Gaile Gordon, Dave Jurasek, Terrance Brown, Ron Buck
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

Our goal is to build vision systems suitable for deployment in devices that operate in demanding dynamic, variably lit, real-world environments. For such systems to be successful, not only must they perform their visual analysis well and robustly, but they must also be small, cheap and consume little power. Further, since volume deployments of such vision systems are still nascent, the systems must be taskable -- flexible enough to support many different uses. We have met our goal with the Tyzx DeepSea G2 Stereo Vision System, an embedded stereo camera consisting of two CMOS imagers, a DeepSea II stereo ASIC, an FPGA, a DSP/Co-processor and a PowerPC running Linux, connected to the Ethernet. It is made practically taskable by the definition of a set of configurable visual primitives supported by specific hardware acceleration. These primitives include stereo correlation, color and depth background modeling, and 2D and 3D quantized representations or projections of the range data. We have defined a common programming interface in which the visual primitives are available both in traditional workstation environments, supported in software, and on the G2 with hardware acceleration. Single G2s are deployed in mobile platforms such as robots and automobiles, while networks of G2s are deployed in tracking systems in public and private sites around the world.
A Semantic-based Meteorology Grid Service Registry, Discovery and Composition Framework
Authors: Kaijun Ren, Nong Xiao, Junqiang Song, Weimin Zhang, Tao Chen
Venue: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (2006)

Meteorology Grid Computing aims to provide scientist with seamless, reliable, secure and inexpensive access to meteorological resources. In this paper, we presented a semantic-based meteorology grid service registry, discovery and composition framework by combining grid technologies and the advantages of semantic web techniques. The main objective of the framework is to support automating the discovery, selection, and workflow composition of semantically described heterogeneous meteorological grid services, which offers the possibility of facilitating geographically distributed meteorological scientists to resolve complex scientific problems cooperately. With this framework, the key technologies such as semantic registry, semantic matchmaking, QoS ranking and composition model, will be discussed.
Human Visual Attention Map for Compressed Video
Authors: Kai-Chieh Yang, Clark C. Guest, Pankaj K. Das
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

In this paper, a new implementation of the human attention map is introduced. Most conventional approaches share characteristics such as the pooling rule is fixed and prior knowledge of camera aim is discarded. Unlike previous research, the proposed method allows more freedom at the feature integration stage since human eyes have a different sensitivity for each feature under different video aiming scenarios. An intelligent mechanism is designed to identify the importance of each feature for each type of camera motion and skin tone feature, and the feature integration is adaptive to different content. With this framework, more important features are emphasized and less important features are suppressed.
A Domain Formal Ontology and the Application in Service Component Retrieval
Authors: Junmei Sun, Huaikou Miao, Xiaoxia Cao
Venue: Proceedings of the International Conference on Software Engineering Advances (2006)

Retrieving reusable service components that satisfy the user's requirements is a difficulty in component-based software development. This paper builds a domain ontology of computer, and proposes an approach to domain ontology-based software component retrieval. Different from the approach to keyword based retrieval, this approach can refine and extend the user's initial query by query reasoning and provide fuzzy retrieval based on component similarity and relatedness. The whole approach extends the software reusable library to the World Wide Web. In the retrieval process, a user query in natural language is translated into RDF representation formats in order to augment retrieval recall and precision by deploying the same semantic representation technologies on both the user query side and the component side. We built the domain ontology using Protege2.1.
3D shape modeling by color phase stepping light projection
Authors: Lijun Jiang, Shiqian Wu, Dajun Wu, EePing Ong, S. Rahardja
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

Color encoded phase-stepping light projection method is a new and promising technique for 3D shape modeling However, the 3D model acquired is often smeared by large error. The main cause of the error is color coupling amongst the three primary colors RGB. In this paper, we first analyzed the color-coupling problem. It is found that there is a strong coupling between G and R element. The coupling between R and G are proportional to the phase interval between them and the overall intensity of image. Second, we proposed an adaptive phase stepping method to alleviate the color coupling errors efficiently and improve accuracy effectively. An algorithm corresponding to a specific paradigm with R-G-B phase step set to 0-45-180 is given and is applied to measure different objects. Experimental results demonstrate the effectiveness of the method.
Graded Visual Attention Modulates Brain Responses Evoked by Task-irrelevant Auditory Pitch Changes
Authors: Gunes Yucel, Christopher Petty, Gregory Mccarthy, Aysenil Belger
Venue: Journal of Cognitive Neuroscience (2005)

Previous studies suggested that auditory change-specific neural responses are attention-independent and reflect central auditory processing. The automaticity of the brain's response to infrequent changes in pitch within a series of auditory tone pips was examined in parallel functional magnetic resonance imaging (fMRI) and event-related potential (ERP) studies. Subjects performed a continuous perceptual-motor visual tracking task at two levels of difficulty while simultaneously hearing a series of task-irrelevant standard tone pips and infrequent pitch-deviant tones. fMRI results revealed that the unattended pitch-deviant tones strongly activated superior temporal and frontal cortical regions. These activations were significantly modulated by the tracking difficulty of the primary task. ERP results revealed that the amplitude of the scalp-negative component evoked by deviant tones (MMN) was attenuated during the more difficult tracking task. Our results demonstrate that the brain's response to task-irrelevant sensory changes is strongly influenced by intermodal attentional demands.
SURCH: Distributed Aggregation over Wireless Sensor Networks
Authors: Xingbo Yu, Sharad Mehrotra, Nalini Venkatasubramanian
Venue: Proceedings of the 10th International Database Engineering and Applications Symposium (2006)

In this paper, we present SURCH, a novel decentralized algorithm for efficient processing of queries generated in sensor networks. Unlike existing techniques, SURCH is fully distributed and does not require the existence or construction of a communication infrastructure. It exploits the broadcast nature of wireless communication to optimize query propagation and evaluation. In SURCH, partial results are aggregated en route while the query spreads through the network. The key features of SURCH include its ability to avoid unnecessary communication, balanced node workload, and resilience to node failures. Performance results illustrate that SURCH outperforms alternative techniques for a variety of aggregation and selection queries.
The Development of Social Behavior Following Neonatal Amygdala Lesions in Rhesus Monkeys
Authors: M. D. Bauman, P. Lavenex, W. A. Mason, J. P. Capitanio, D. G. Amaral
Venue: Journal of Cognitive Neuroscience (2004)

We examined the role of the amygdala in the development of nonhuman primate social behavior. Twenty-four rhesus monkeys received bilateral ibotenic acid lesions of either the amygdala or the hippocampus or received a sham surgical procedure at 2 weeks of age. Subjects were reared with their mothers and were provided daily access to social rearing cohorts. The subjects were weaned at 6 months of age and then observed while paired with familiar conspecifics at 6 and 9 months of age and with unfamiliar conspecifics at 1 year of age. The subjects were also observed during daily cohort socialization periods. Neither amygdala nor hippocampus lesions altered fundamental aspects of social behavior development. All subjects, regardless of lesion condition, developed a species-typical repertoire of social behavior and displayed interest in conspecifics during social encounters. The amygdala lesions, however, clearly affected behaviors related to fear processing. The amygdala-lesioned subjects produced more fear behaviors during social encounters than did control or hippocampus-lesioned subjects. Although the heightened fear response of the amygdala-lesioned subjects was consistent across different testing paradigms and was observed with both familiar and novel partners, it did not preclude social interactions. In fact, the amygdala-lesioned subjects displayed particular social behaviors, such as following, cooing, grunting, presenting to be groomed, and presenting to be mounted more frequently than either control or hippocampus-lesioned subjects. These findings are consistent with the view that the amygdala is not needed to develop fundamental aspects of social behavior and may be more related to the detection and avoidance of environmental dangers.
J - Automated Reasoning Method Based On LP(X)
Authors: Xiaobing Li, Dan Meng, Yang Xu
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

In the present paper, automated reasoning based on lattice-valued propositional logic, will be focused where the clauses only contains 0- IESFs as its generalized literals. A method of automated reasoning is given, and the soundness and the completeness of this method is proved. It is hoped that this research will make forward theoretical research of automated reasoning based on lattice-valued logic.
How tutors characterize students: a study of personal constructs in tutoring
Authors: Sharon J. Derry, Michael K. Potts
Venue: Proceedings of the 1996 international conference on Learning sciences (1996)

Human tutoring provided on a one-to-one basis has been credited as the most effective form of instruction [Bloom, 1984]; [Cohen, Kulik, & Kulik, 1982]. It is not surprising, then, that efforts to isolate and describe the actions of expert tutors and the unique interactions that take place between tutor and tutee have intensified in recent years. Cognitive researchers, particularly those interested in developing intelligent computer learning environments, want to know how good tutors behave and think during interactions with students. Models of human tutoring provide a rich source of ideas for system designers and developers.
Multiprocessing Template for Media Applications
Authors: Jeroen Leijten, Menno Lindwer
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

Within SoCs for embedded media applications, performance and computational efficiency can only grow through scalability, dedicated instructions, and specialized memory sub-systems. Scalability can only be achieved through short wires and low fan-in and fanout. The presented multi-processor template makes use of these properties. It provides multiple threads of control (cell-level multi processing), each processor cell having a multitude of issue slots, localised register files, memories, and interconnects. The template allows the compiler to control all of these resources separately, eliminating hardware overhead for instruction decoding, pipeline control, hazard detection, and bypass networks. The template also integrates media-oriented and SIMD instructions, which the compiler can automatically select. This paper describes the template underlying several multimedia multi-processor designs.
Voronoi and Delaunay Tilings for Lattices
Authors: Robert Erdahl
Venue: Proceedings of the 3rd International Symposium on Voronoi Diagrams in Science and Engineering (2006)

I will consider two outstanding problems in the theory of Delaunay and Voronoi tilings for lattices. There is a new classification problem that has arisen from a new structure theorem. Sergei Ryshkov proved that: The Minkowski sum of two Voronoi polytopes is a Voronoi polytope, if and only if the corresponding Delaunay tilings are commensurate. This result raises the question of classifying all Minkowski irreduciable Voronoi poloytopes - the dual description is to determine all edge forms in Voronoi's theory of lattice types. I will describe the first steps that have been taken in this direction. A parallelotope is a polytope with the property that a selection of translates tiles space. Voronoi polytopes are examples of Parallelotopes, and it is a long-standing conjecture of Voronoi's that an arbitrary parallelotope is affinely equivalent to a Voronoi polytope for a lattice. Voronoi proved his conjecture in 1909 for the special case where the parallelotope is primitive. Proofs for additional special cases where given in 1929 by Gitomerski, in 1998 by Erdahl when the parallelotope is a zonotope, and most recently by Andrei Ordine at Queen's for the case where all "dual 3-cells are irreducible. I will describe the current status of this conjecture, which is interesting because it links polytopes defined in radically different ways: parallelotopes are defined in terms of the tiling property alone, whereas Voronoi polytopes require a metrical construction.
Discover Gene Specific Local Co-regulations Using Progressive Genetic Algorithm
Authors: Ji Zhang, Qigang Gao, Hai Wang
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

The problem of gene specific co-regulation discovery is that, for a particular gene of interest, identify its closely coregulated genes and the associated subsets of experimental conditions in which such co-regulations occur. The coregulations are local in the sense that they occur in some subsets of full experimental conditions. In this paper, we propose an innovative method for finding gene specific coregulations using genetic algorithm (GA). Two novel ad hoc GAs, the single-stage and two-stage progressive GA, are proposed. They are called progressive because the initial population for the GA in a window position inherits the top-ranked individuals obtained in the preceding window position, enabling them to achieve better accuracy than the non-progressive algorithm. Experimental results with reallife gene expression data demonstrate the efficiency and effectiveness of our technique in discovering gene specific coregulations.
Why We Won't Review Books by Hackers
Authors: Charles P. Pfleeger, ShariLawrence Pfleeger
Venue: IEEE Security and Privacy (2006)

Why we decided against reviewing books by convicted computer criminals.
Energy-efficient embedded software implementation on multiprocessor system-on-chip with multiple voltages
Authors: Shaoxiong Hua, Gang Qu, Shuvra S. Bhattacharyya
Venue: ACM Transactions on Embedded Computing Systems (TECS) (2006)

This paper develops energy-driven completion ratio guaranteed scheduling techniques for the implementation of embedded software on multiprocessor systems with multiple supply voltages. We leverage application's performance requirements, uncertainties in execution time, and tolerance for reasonable execution failures to scale each processor's supply voltage at run-time to reduce the multiprocessor system's total energy consumption. Specifically, we study how to trade the difference between the system's highest achievable completion ratio Qmax and the required completion ratio Q0 for energy saving. First, we propose a best-effort energy minimization algorithm (BEEM1) that achieves Qmax with the provably minimum energy consumption. We then relax its unrealistic assumption on the application's real execution time and develop algorithm BEEM2 that only requires the application's best- and worst-case execution times. Finally, we propose a hybrid offline on-line completion ratio guaranteed energy minimization algorithm (QGEM) that provides the required Q0 with further energy reduction based on the probabilistic distribution of the application's execution time. We implement the proposed algorithms and verify their energy efficiency on real-life DSP applications and the TGFF random benchmark suite. BEEM1, BEEM2, and QGEM all provide the required completion ratio with average energy reduction of 28.7, 26.4, and 35.8&percnt;, respectively.
Pedestrian Detection with Stereo Vision
Authors: Mineki Soga, Takeo Kato, Mitsuhiko Ohta, Yoshiki Ninomiya
Venue: Proceedings of the 21st International Conference on Data Engineering Workshops (2005)

This paper presents a method of pedestrian detection for automobile applications, based on stereo vision. Vision based pedestrian detection presents a difficulty due to the diversity of appearances. The proposed method overcomes the difficulty mainly through the following two contributions. Firstly, employing four directional features with the classifier increases the robustness against small affine deformation of objects. Secondly, by merging classification and tracking, robustness against temporal change of appearance is improved when considering temporal continuity of classification score. The experiments, performed on approximately 16 minutes of video sequences, confirmed that the method can detect pedestrians with low false detection.
Number Plate Recognition Based on Support Vector Machines
Authors: Lihong Zheng, Xiangjian He
Venue: Proceedings of the IEEE International Conference on Video and Signal Based Surveillance (2006)

Automatic number plate recognition method is required due to increasing traffic management. In this paper, we first briefly review some knowledge of Support Vector Machines (SVMs). Then a number plate recognition algorithm is proposed. This algorithm employs an SVM to recognize numbers. The algorithm starts from a collection of samples of numbers from number plates. Each character is recognized by an SVM, which is trained by some known samples in advance. In order to recognize a number plate correctly, all numbers are tested one by one using the trained model. The recognition results are achieved by finding the maximum value between the outputs of SVMs. In this paper, experimental results based on SVMs are given. From the experimental results, we can make the conclusion that SVM is bettr than others such as inductive learning-based number recognition