ppxscal/embedding_network huggingface dataset:
Interface agents to alleviate online frustration
Authors: Amy L. Baylor, Rinat B. Rosenberg-Kima
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

Mitigating system-based frustration is important within computer-based learning contexts. In two experimental studies, students answered online survey items and were confronted by a frustrating obstacle---an error message pop-up window that blocked them from answering the items. In the first study, "Survey Sam," an animated interface agent was present throughout the survey, and at the end delivered an affective message (apologetic or empathetic) or remained silent. Results revealed that the presence of either message led students to attribute the cause of their frustration to the program instead of to themselves. Further, participants receiving the empathetic message rated Survey Sam as significantly more believable and sincere. The second study investigated the impact of the visual presence of the agent by providing identical messages but with voice only. Results reinforced the value of the agent's visual preference as more effective than voice only, particularly for the empathetic message.
An "Oblique Effect" in Infants' Haptic Perception of Spatial Orientations
Authors: Edouard Gentaz, Arlette Streri
Venue: Journal of Cognitive Neuroscience (2004)

The present research addresses the question of the "oblique effect" (better discrimination of the vertical orientation than of an oblique orientation) in manual haptic perception of orientations (without visual control) by 5-month-old infants. A familiarization/reaction to novelty procedure was used. The results revealed the occurrence of a haptic oblique effect. These findings are similar to those obtained in infant visual perception. We suggest that 5-month-old infants predominately use vertical orientation as a reference norm to perceive haptically spatial orientations. We discuss the implications of these results for both orientation processing and anatomofunctional level contributing specifically to the haptic oblique effect.
Constructing Ensembles for Better Ranking
Authors: Jin Huang, Charles X. Ling
Venue: Proceedings of the Sixth International Conference on Data Mining (2006)

We propose a novel algorithm, RankDE, to build an ensemble using an extra artificial dataset. RankDE aims at improving the overall ranking performance, which is crucial in many machine learning applications. This algorithm constructs artificial datasets that are diverse with the current training dataset in terms of ranking. We conduct experiments with real-world data sets to compare RankDE with some traditional and state-of-the-art ensembling algorithms of Bagging, Adaboost, DECORATE and Rankboost in terms of ranking. The experiments showthat RankDEoutperforms Bagging, DECORATE, Adaboost, and Rankboost when limited data is available. When enough training data is available, it is competitive with DECORATE and Adaboost
Synchronous Image Acquisition based on Network Synchronization
Authors: Georgios Litos, Xenophon Zabulis, Georgios Triantafyllidis
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

In this paper, a software-based system for the real-time synchronization of images captured by a low-cost camera framework is presented. It is most well suited for cases where special hardware cannot be utilized (e.g. remote or wireless applications) and when cost efficiency is critical. The proposed method utilizes messages to establish a consensus on the time of image acquisition and NTP synchronization of computer clocks. It also provides with an error signal, in case of failure of the synchronization. The evaluation of the proposed algorithm using a precise LED array system (1ms accuracy) proves the effectiveness of this method.
Locating the Optic Disc in Retinal Images
Authors: Mira Park, Jesse S. Jin, Suhuai Luo
Venue: Proceedings of the International Conference on Computer Graphics, Imaging and Visualisation (2006)

We present a method to automatically outline the optic disc in a retinal image. Our method for finding the optic disc is based on the properties of the optic disc using simple image processing algorithms which include thresholding, detection of object roundness and circle detection by Hough transformation. Our method is able to recognize the retinal images with general properties and the retinal images with variance of unusual properties since the parameters of our method can be flexibly changed by the unusual properties.
Learning cross-modal appearance models with application to tracking
Authors: M. M. Trivedi, T. Darrell
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

Objects of interest are rarely silent or invisible. Analysis of multi-modal signal generation from a single object represents a rich and challenging area for smart sensor arrays. We consider the problem of simultaneously learning and audio and visual appearance model of a moving subject. We present a method which successfully learns such a model without benefit of hand initialization using only the associated audio signal to "decide" which object to model and track. We are interested in particular in modeling joint audio and video variation, such as produced by a speaking face. We present an algorithm and experimental results of a human speaker moving in a scene.
Interaction system based on virtual candle light
Authors: Takashi Yagi, Shouji Sakamoto, Tetsuo Shoji, Yasuhiko Watanabe, Yoshihiro Okada
Venue: Proceedings of the 2005 international conference on Augmented tele-existence (2005)

In this paper, our purpose is to develop an interaction system based on virtual candle light. The contents of this paper are as follows: First, we show how to generate reflectance distribution filter by using an actual wax candle. Secondly, we show the virtual light effect on a wall painting image can be reproduced by using the reflectance distribution filter and the Cellular Automata. Finally, we show an interaction system which changes the optical appearance of wall painting images whenever a user moves a penlight which the user holds and compares to a candle light.
Extracting Partition Statistics from Semistructured Data
Authors: John N. Wilson, Richard Gourlay, Robert Japp, Mathias Neumuller
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

The effective grouping, or partitioning, of semistructured data is of fundamental importance when providing support for queries. Partitions allow items within the data set that share common structural properties to be identified efficiently. This allows queries that make use of these properties, such as branching path expressions, to be accelerated. Here, we evaluate the effectiveness of several partitioning techniques by establishing the number of partitions that each scheme can identify over a given data set. In particular, we explore the use of parameterised indexes, based upon the notion of forward and backward bisimilarity, as a means of partitioning semistructured data; demonstrating that even restricted instances of such indexes can be used to identify the majority of relevant partitions in the data.
New data mining models based on formal concept analysis and probability logic
Authors: Jitender S. Deogun
Venue:  (2006)

This dissertation enhances data mining processes by formalizing them in a logic framework, with the focuses on improving the efficiency of association rule mining and extending the use of association rules to make predictions based on the proposed framework. Although extensive studies have been done on data mining, most of them concentrate on specific application domains. A logic framework to formally represent important notions and processes in data mining has attracted little attention. SPICE---Symbolic integration of Probability Inference and Concept Extraction, is therefore proposed, in which the logic representations of concepts, patterns, previously unknown and potentially interesting patterns are formalized. Two primary data mining tasks, association rule mining and classification, are formally represented as pattern discovery processes in SPICE. Based on the SPICE framework, a new special type of patterns, Maximal Potentially Useful (MaxPUF) patterns, is formalized. The MaxPUF patterns lead to a new class of association rules, called MaxPUF rules. These rules are characterized by the minimum antecedents among all the high-confidence rules for the same consequent. At the same time, this minimum antecedent includes the most important factors to imply a consequent with high confidence. Thus, the MaxPUF rules are very interesting and potentially useful to the user. The mining of MaxPUF rules provides a solution to the rule redundancy problem in association rule mining, which occurs when a large number of rules are generated and many of them are uninteresting or unimportant. A new mining approach called Succinct Worthy Association Rule Mining (SWARM) is proposed to improve mining efficiency. Different from previous mining approaches that only prune the infrequent itemsets, SWARM adopts a new pruning strategy that deletes less important items in the mining process. Because a much smaller number of itemset candidates are generated after the items have been deleted, SWARM is more efficient than previous approaches. In SWARM the MaxPUF rules are used to help identify less important items. In addition, the possible use of association rules for prediction is studied and a new prediction rule model is proposed. The experimental results show that the discovered prediction rules can be used for prediction with good results. Overall, this dissertation introduces a logic framework for data mining and develops methodologies based on the proposed framework to enhance data mining.
The HITVICE VV&A environment
Authors: Fang Ke, Yang Ming, Wang Zicai
Venue: Proceedings of the 37th conference on Winter simulation (2005)

VV&A process needs to be systematically organized and costs heavy workload. Conventional VV&A tools are mostly designed for special simulation needs, and are lack of flexible workflow processing, CSCW support and integrated resource managing etc. The simulation community needs a synthetic environment more than scattered tools to speed the process of VV&A. In this paper, we introduce our HITVICE VV&A environment for totally facilitating VV&A. The system can realize workflow automation, hierarchical evaluation, CSCW, lifecycle data management and flexible authority control etc. External VV&A tools can also be integrated into HITVICE and interchange data with it. HITVICE has been applied by a large different-placed simulation coded 40301. The system proved to be effective in VV&A assistance, and it's being improved to satisfy new requirements from prospective users.
Gauss-Vanícek Spectral Analysis of the Sepkoski Compendium: No New Life Cycles
Authors: Mensur Omerbashich
Venue: Computing in Science and Engineering (2006)

New periods can emerge from data as a byproduct of incorrect processing or even the method applied. In one such recent instance, a new life cycle with a 62±3 Myr period was reportedly found (about trend) in genus variations from the Sepkoski compendium, the world's most complete fossil record. The approach that led to reporting this period was based on Fourier's method of spectral analysis. I show here that no such period is found when the original data set is considered rigorously and processed in the Gauss-Vanicek spectral analysis. I also demonstrate that data altering can boost spectral power up to a nearly 100 percent increase in the signal range, thus introducing artificial, "99 percent significant" periods as seen in the corresponding variance-spectra of noise. Besides geology and paleontology, virtually all science and engineering disciplines could benefit from the approach described here. The main general advantages of the Gauss-Vanícek spectral analysis lay in period detection from gapped records and in straightforward testing of statistical null hypothesis. The main advantage of the method for physical sciences is its use as a field descriptor for accurate simultaneous detection of eigenfrequencies and relative dynamics. Besides analyzing incomplete records, researchers might also want to remove less-trustworthy data from any time series before analyzing it with the Gauss-Vanícek method. This could increase both the accuracy and reliability of spectral analyses in general.
A Framework for Multiple-View Product Representation Using Augmented Reality
Authors: Y. Shen, S. K. Ong, A. Y. C. Nee
Venue: Proceedings of the 2006 International Conference on Cyberworlds (2006)

In this paper, an Augmented Reality (AR) collaborative design system to support multiple-view product representation in manufacturing is presented. This system can be used to enhance design discussion using the real objects and natural communication behaviors, such as voice inputs and gestures, and also support communication of a geographically dispersed multi-disciplinary team on a network in a concurrent engineering environment. In addition, during the life cycle development of a product, users performing different operations in this life cycle can view different information of the product that is relevant to their tasks through head-mounted devices (HMDs). The information, which is filtered using a client's interest list, i.e. the process information which is of the greatest interest to a client, and deposited in the users' respective databases, can be displayed using computer graphics such as video, text, etc. Furthermore, users can freely make changes to the product model in this AR environment.
Delivery Context Access for Mobile Browsing
Authors: Sailesh Sathish, Olli Pettay
Venue: Proceedings of the International Multi-Conference on Computing in the Global Information Technology (2006)

The usage of context data to facilitate adaptive applications is gaining widespread prominence. We describe an architecture for adaptive web applications specially suited for mobile devices. This approach is based on an ongoing standardization effort within World Wide Web Consortium (W3C) for client side device context access. The specification, Delivery Context: Interfaces (DCI) is intended to be used as an access mechanism for context consumers. We augment this approach by providing additional interfaces for context providers towards data provisioning to DCI and usage of a dynamic profile generation mechanism that relies on DCI for data serialization. This complements current approaches such as utilizing User Agent Profiles used in server side adaptation. We also provide details of a proof-of-concept implementation for DCI along with two adaptive applications and outline our future plans for this work.
Locally optimal knots and tension parameters for exponential splines
Authors: Karl O. Riedel
Venue: Journal of Computational and Applied Mathematics (2006)

Tension can be applied to cubic splines in order to avoid undesired spurious oscillations. This leads to the well-known (exponential) spline in tension. It is crucial but unfortunately difficult to find suitable tension parameters of interpolating splines in tension. Instead of heuristics, we propose a simultaneous knot placing and tension setting algorithm for least-squares splines in tension which includes interpolating splines in tension as a special case. Moreover, the splines presented here are the foundation of exponential surface splines on fairly arbitrary meshes [K.O. Riedel, Two-dimensional splines on fairly arbitrary meshes, ZAMM--Z. Angew. Math. Mech. 85(3) (2005) 176-188].
Is the Hand really quicker than the Eye? Variances of the Mean-Shift algorithm for real-time hand and face tracking
Authors: Farhad Dadgostar, Abdolhossein Sarrafzadeh, Scott P. Overmyer, Liyanage De Silva
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

Vision-based gesture recognition systems require identifying and tracking the boundaries of skin segments. In this article, we present four variations of the Mean-Shift algorithm with the applications of hand and face tracking in user interface applications. The first variation is based on continuous sampling of the boundaries of the kernel and changing the size of the kernel. The second variation addresses tracking of multiple skin blobs in the image sequence. The third algorithm provides a high level of tracking which we cal a "Macro tracker" for tracking activity from multiple trackers. The fourth variation addresses the application of depth information in blob tracking. This additional variable makes the algorithm more robust in handling occlusion, which often occurs in user interface applications.
A vision-based AR registration method utilizing edges and vertices of 3D model
Authors: Ryo Hirose, Hideo Saito
Venue: Proceedings of the 2005 international conference on Augmented tele-existence (2005)

The most important issue in AR (Augmented Reality) is accurate geometric registration between real world and virtual objects. We propose a hybrid registration method utilizing the edges and the vertices of a 3D model of the target object. We estimate camera position and orientation by detecting the vertices and true edges every frames. The influence of the misleading edges is reduced by considering multiple edge candidates and selecting the best one from them. Furthermore the magnetic sensor or a set of the artificial vision markers as a tool to obtain approximate camera position and orientation are also used when the tracking object goes out of the user's view point or the camera movement is too fast to track natural features. By considering multiple edge candidates and utilizing a magnetic sensor or vision markers, the accuracy of registration and the robustness of rapid camera movement can be improved.
Functional Connectivity: Integrating Behavioral, Diffusion Tensor Imaging, and Functional Magnetic Resonance Imaging Data Sets
Authors: Abigail A. Baird, Mary K. Colvin, John D. Vanhorn, Souheil Inati, Michael S. Gazzaniga
Venue: Journal of Cognitive Neuroscience (2005)

& In the present study, we combined 2 types of magnetic resonance technology to explore individual differences on a task that required the recognition of objects presented from unusual viewpoints. This task was chosen based on previous work that has established the necessity of information transfer from the right parietal cortex to the left inferior cortex for its successful completion. We used reaction times (RTs) to localize regions of cortical activity in the superior parietal and inferior frontal regions (blood oxygen level-dependent [BOLD] response) that were more active with longer response times. These regions were then sampled, and their signal change used to predict individual differences in structural integrity of white matter in the corpus callosum (using diffusion tensor imaging). Results show that shorter RTs (and associated increases in BOLD response) are associated with increased organization in the splenium of the corpus callosum, whereas longer RTs are associated with increased organization in the genu. &
MetaCET: An Object Oriented Tool for Language Design
Authors: Francisco Gortazar, Micael Gallego, Abraham Duarte
Venue: Proceedings of the International Multi-Conference on Computing in the Global Information Technology (2006)

Programming Language design is one of the most difficult tasks in software design. Nowadays, is an open research area, with a great impact on the further development of the Computer Science. In this paper, we present MetaCET, a new approach for language design. It allows developers to model and design a target language by means of Java. When modeling, the first step consists of giving a high level language design by a diagram, for instance, UML. Then, in MetaCET, the model is rewritten into Java classes. Inside these Java classes the syntax (or target language textual representation) is specified as metadata (standard Java annotations). Finally, MetaCET automatically generates a Java
GASAT: a genetic local search algorithm for the satisfiability problem
Authors: Frédéric Lardeux, Frédéric Saubion, Jin-Kao Hao
Venue: Evolutionary Computation (2006)

This paper presents GASAT, a hybrid algorithm for the satisfiability problem (SAT). The main feature of GASAT is that it includes a recombination stage based on a specific crossover and a tabu search stage. We have conducted experiments to evaluate the different components of GASAT and to compare its overall performance with state-of-the-art SAT algorithms. These experiments show that GASAT provides very competitive results.
Uncovering the Latent Underlying Domains of a Research Field: Knowledge Visualization Revealed
Authors: Tsung Teng Chen, Liang Chi Hsieh
Venue: Proceedings of the conference on Information Visualization (2006)

This paper illustrates how to clarify a new research topic - knowledge visualization - in terms of analyzing a vast amount of citations related to this field. The study presents a method that may help scholars who are interested in an inter-disciplinary and not-well-understood research area, such as knowledge visualization by revealing for them the underlying disciplines that a particular research is based upon. Key papers relevant to the research in question are also identified that may help researchers gain an overview of the field. The method discussed in this paper is generic in nature and generally applicable to other research topics.