ppxscal/embedding_network huggingface dataset:
Using Resampling Techniques for Better Quality Discretization
Authors: Taimur Qureshi, Djamel A. Zighed
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

Many supervised induction algorithms require discrete data, however real data often comes in both discrete and continuous formats. Quality discretization of continuous attributes is an important problem that has effects on accuracy, complexity, variance and understandability of the induction model. Usually, discretization and other types of statistical processes are applied to subsets of the population as the entire population is practically inaccessible. For this reason we argue that the discretization performed on a sample of the population is only an estimate of the entire population. Most of the existing discretization methods, partition the attribute range into two or several intervals using a single or a set of cut points. In this paper, we introduce two variants of a resampling technique (such as bootstrap) to generate a set of candidate discretization points and thus, improving the discretization quality by providing a better estimation towards the entire population. Thus, the goal of this paper is to observe whether this type of resampling can lead to better quality discretization points, which opens up a new paradigm to construction of soft decision trees.
Time Slot Groups - A Data Structure for QoS-Constrained Advance Bandwidth Reservation and Admission Control
Authors: Mugurel Ionut Andreica, Nicolae Tapus
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

In this paper we present Time Slot Groups (TSG), a novel, efficient data structure for QoS-constrained advance bandwidth reservation and admission control. The data structure divides the time horizon into T equally sized time slots and can be used for serving efficiently complex bandwidth reservation requests specifying the duration of the reservation, the minimum required bandwidth, the earliest possible starting time and the latest possible finish time. The data structure supports reservation queries in time O(k+(T/k)* log(k)) and reservation updates in time O(k+(T/k)), where k is a user-defined parameter.
Identifying protein interaction abstracts with contextual bag of words
Authors: Hsi-Chuan Hung, Richard Tzong-Han Tsai, Wen-Lian Hsu
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

In this paper, we focus on the identification of biomedical abstracts related to protein-protein interactions. We propose a novel feature representation, contextual-bag-of-words, to exploit named entity information. Our method outperforms well-known methods that use named entity information as additional features. Furthermore, we have improved the performance by extracting reliable and informative instances from unlabeled and likely-positive data to provide additional training data.
Neural priming in human frontal cortex: Multiple forms of learning reduce demands on the prefrontal executive system
Authors: Elizabeth A. Race, Shanti Shanker, Anthony D. Wagner
Venue: Journal of Cognitive Neuroscience (2009)

Past experience is hypothesized to reduce computational demands in PFC by providing bottom-up predictive information that informs subsequent stimulus-action mapping. The present fMRI study measured cortical activity reductions ("neural priming"/"repetition suppression") during repeated stimulus classification to investigate the mechanisms through which learning from the past decreases demands on the prefrontal executive system. Manipulation of learning at three levels of representation-stimulus, decision, and response-revealed dissociable neural priming effects in distinct frontotemporal regions, supporting a multiprocess model of neural priming. Critically, three distinct patterns of neural priming were identified in lateral frontal cortex, indicating that frontal computational demands are reduced by three forms of learning: (a) cortical tuning of stimulus-specific representations, (b) retrieval of learned stimulus-decision mappings, and (c) retrieval of learned stimulus-response mappings. The topographic distribution of these neural priming effects suggests a rostrocaudal organization of executive function in lateral frontal cortex.
The Problems of SMEs in E-commerce
Authors: Chen Xin
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

During the last years, e-Business has become widely accepted in many different industry segments. By adopting systems that allow for business transaction to be conducted electronically rather than paper-based, enterprises can significantly reduce the effort for data-processing, increase business data accuracy and may even discover new business models or partners. The objective of this paper is to find out something that SMEs need to pay attention to when carrying out E-commerce.
Application of the Marine Oil Spill Surveillance by Satellite Remote Sensing
Authors: Wu Dan, Shen Jifeng, Zhang Yongzhi, Zhao Pu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Oil spill accidents are seen relatively frequent and becomes a severe threat to coastal and marine ecosystems and water quality. Thus, active surveillance and rapid response to marine oil spills is important and essential to environment protection. So, this paper lays emphasis on the research of monitoring the marine oil spills for application by satellite remote sensing especially SAR. Imaging characteristics of satellites and image-forming principle of oil spill information in remote sensing images are analyzed at first. Then how to monitor the marine oil spills by satellite remote sensing and how to identify and detect marine oil spills information in SAR images are discussed mainly. Through the practical applications examples of the marine oil spill surveillance by satellite remote sensing in oil spill accidents of oil tanker “Hebei Spirit”, the method this paper proposed is proved to be very effectively and feasibly for the fast response and detection to oil spills especially in the waters near Bohai sea of China. Finally future development of marine oil spill surveillance is suggested with conclusion.
GroupNET: A Novel P2P Grouping Network Based on Cayley Graph
Authors: Hao Liu, Lian-Ming Zhang, Bing Zeng
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

Most of recent researches on P2P system focus on how to build a highly usable P2P overlay network. Researchers include small routing table, short query path and good robustness into their design objectives of overlay topology. In this paper, we present a general group theory method and define a new Cayley graph. Based on this graph, we propose a novel P2P overlay network called GroupNET, which has simple routing(searching) scheme and many other excellent properties such as short query path, high clustering and good robustness because of its symmetry. The performance is evaluated by simulation to show that GroupNET posses shorter query path length and higher clustering and better robustness than several popular P2P overlay networks such as Chord and Ulysses.
Concept-based feature generation and selection for information retrieval
Authors: Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowledge. We present a method that uses Wikipedia-based feature generation to improve retrieval performance. Intuitively, we expect that using extensive world knowledge is likely to improve recall but may adversely affect precision. High quality feature selection is necessary to maintain high precision, but here we do not have the labeled training data for evaluating features, that we have in supervised learning. We present a new feature selection method that is inspired by pseudorelevance feedback. We use the top-ranked and bottom-ranked documents retrieved by the bag-of-words method as representative sets of relevant and non-relevant documents. The generated features are then evaluated and filtered on the basis of these sets. Experiments on TREC data confirm the superior performance of our method compared to the previous state of the art.
Abstract Recommendation with Assistance of Interactive User Profile Extraction
Authors: Haodi Feng, Hong Liu, Shenpeng Lu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Abstraction and user-profile-based search are two important topics in information retrieval. In this paper, we combine these two problems together, and present a user-profile-based meta search system with which the user can read the abstracts of preferred documents. The user profile is represented as list of words, which are either given directly by the user or generated automatically by the system from the user's reading history.
An optical see-through head mounted display with addressable focal planes
Authors: Sheng Liu, Dewen Cheng, Hong Hua
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

Most existing stereoscopic head mounted displays (HMDs), presenting a pair of stereoscopic images at a fixed focal distance, lack the ability to correctly render the naturally coupled accommodation and convergence cues. Psychophysical studies have shown that such displays may cause many adverse consequences such as visual fatigue, diplopic vision, degraded oculomotor response, and depth perception errors. In this paper, we present a see-through HMD with addressable focal planes utilizing a novel active optical element—a liquid lens. The element, with a varying optical power from −5 to 20 diopters, is able to address the focal distance of the HMD from infinity to the near point of the eye. A monocular prototype was built from off-the-shelf elements and experimental results are presented to validate the proposed designs. We also describe both subjective and objective measurements of the accommodation responses of the viewer to the focal distances presented by the prototype.
Constraint-Handling in Evolutionary Optimization, 1st edition
Authors: Efrn Mezura-Montes
Venue: Studies In Computational Intelligence (2009)

This book is the result of a successful special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007, with the aim of putting together recent studies on constrained numerical optimization using evolutionary algorithms and other bio-inspired approaches. The book covers six main topics: The first two chapters refer to swarm- intelligence-based approaches. Differential evolution, a very competitive evolutionary algorithm for constrained optimization, is studied in the next three chapters. Two different constraint-handling techniques for evolutionary multiobjective optimization are presented in the two subsequent chapters. Two hybrid approaches, one with a combination of two nature-inspired heuristics and the other with the mix of a genetic algorithm and a local search operator, are detailed in the next two chapters. Finally, a constraint-handling technique designed for a real-world problem and a survey on artificial immune system in constrained optimization are the subjects of the final two chapters. The intended audience for this book comprises graduate students, practitioners and researchers interested on alternative techniques to solve numerical optimization problems in presence of constraints.
HCI Standards for Handicapped
Authors: Zbigniew Wisniewski, Aleksandra Polak-Sopinska
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

The study presents conclusions from the project realization so far. The main aim of the project is to work out the rules of evaluation and validation of application interfaces on the basis of study of the process of man-computer communication. The target group for the benefit of which the research will be carried out are disabled persons and people over 55 years of age. The disabled and the elderly, are in the social stratum systematically ignored by software producers and internet service providers as a target group of computer users.
Topics in Graph Theory: Graphs and Their Cartesian Product
Authors: Wilfried Imrich, Sandi Klavzar, Douglas F. Rall
Venue:  (2008)

From specialists in the field, learn about interesting connections and recent developments in the field of graph theory by looking in particular at Cartesian products arguably the most important of the four standard graph products. Many new results in this area appear for the first time in print in this book. Written in an accessible way, this book can be used for personal study in advanced applications of graph theory or for an advanced graph theory course.
Secure Enforcement for Global Process Specifications
Authors: Jérémy Planul, Ricardo Corin, Cédric Fournet
Venue: Proceedings of the 20th International Conference on Concurrency Theory (2009)

Distributed applications may be specified as parallel compositions of processes that summarize their global interactions and hide local implementation details. These processes define a fixed protocol (also known as a contract, or a session) which may be used for instance to compile or verify code for these applications.Security is a concern when the runtime environment for these applications is not fully trusted. Then, parts of their implementation may run on remote, corrupted machines, which do not comply with the global process specification. To mitigate this concern, one may write defensive implementations that monitor the application run and perform cryptographic checks. However, hand crafting such implementations is ad hoc and error-prone.We develop a theory of secure implementations for process specifications. We propose a generic defensive implementation scheme, relying on history-tracking mechanisms, and we identify sufficient conditions on processes, expressed as a new type system, that ensure that our implementation is secure for all integrity properties. We illustrate our approach on a series of examples and special cases, including an existing implementation for sequential multiparty sessions.
Clustering of power quality event data collected via monitoring systems installed on the electricity network
Authors: Mennan Güder, Nihan Kesim Çiçekli, Özgül Salor, Işik Çadirci
Venue: Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data (2009)

In this paper, a k-means-based clustering method applied to power quality event data is described. The data are collected by the power quality (PQ) monitors, which are developed through the National PQ Project and installed on the electricity network. The PQ monitors detect the PQ events defined as voltage sags, swells, and interruptions by the IEC Standard 61000-4-30, and collect the raw data of the event. The proposed method aims to cope with the huge event data size and cluster the event types so that PQ events are ultimately classified. The method helps to manage the event data to come up with PQ assessments for the specific measurement points and to make comparisons of various measurement points in terms of PQ of the electricity network.
Enhanced Strand Space for Secure Protocol Analysis
Authors: Jie Yang, Yu-ren Zhou
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

The paper makes improvement to the original Strand Space by adding the description of hash function and some definitions with lemmas. The intensive model is used to analyze IKE sub-protocol using hash function.
Asymptotic analysis of the Bell polynomials by the ray method
Authors: Diego Dominici
Venue: Journal of Computational and Applied Mathematics (2009)

We analyze the Bell polynomials B"n(x) asymptotically as n->~. We obtain asymptotic approximations from the differential-difference equation which they satisfy, using a discrete version of the ray method. We give some examples showing the accuracy of our formulas.
Designing Intelligent Agents For Traffic Delay Compensation
Authors: Ken Yen-Ru Cheng, Chiung-Hon Leon Lee, Alan Liu
Venue: Journal of Integrated Design Process Science (2008)

We proposed a multi-agent system for enhancing the intelligent transportation system (ITS) with traffic delay compensation ability. There are three kinds of agent to participate in this mechanism, namely, Travel Center Agent (TCA), Vehicle Agent (VA), and Road Side Agent (RSA). The main function of TCA is to cooperate with VAs to make a reasonable and convenient travel contract for the vehicle driver. VA serves the car driver, makes the contract with TCA, and executes the contract to help car driver to go to destination with less wasted travel time. RSA accepts vehicle information from VA, gives a route suggestion to VA, and bases on the information controlling traffic lights to give each vehicle reasonable and fair red light waiting time. We also proposed an approach to compensate the traffic delay caused by accidents. A Driver Compliance Model is developed to maximize the compliance value through the cooperation of the TCA, RSAs, and VAs. Finally, we implement a system prototype to verify the proposed mechanism and experimental results shows that the traffic light control with the proposed mechanism can give less and fairer red-light waiting time than fixed traffic light switching mechanism.
Semi-automatic Categorization of Videos on VideoLectures.net
Authors: Miha Grcar, Dunja Mladenic, Peter Kese
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

Automatic or semi-automatic categorization of items (e.g. documents) into a taxonomy is an important and challenging machine-learning task. In this paper, we present a module for semi-automatic categorization of video-recorded lectures. Properly categorized lectures provide the user with a better browsing experience which makes her more efficient in accessing the desired content. Our categorizer combines information found in texts associated with lectures and information extracted from various links between lectures in a unified machine-learning framework. By taking not only texts but also the links into account, the classification accuracy is increased by 12---20%.
Gem #54: scripting capabilities in GNAT (Part 2)
Authors: Emmanuel Briot
Venue: ACM SIGAda Ada Letters (2009)

In Gem #52, we saw various facilities that GNAT provides to make Ada a scripting language (sort of). We discussed GNAT.Command_Line, GNATCOLL.Mmap, GNAT.Regpat and GNAT.AWK. This Gem continues the discussion of scripting capabilities, and focuses on interaction with external processes.
Constructing the set of program controls with probability 1 for one class of stochastic systems
Authors: E. V. Chalykh
Venue: Automation and Remote Control (2009)

The definitions of the program control for stochastic systems were traditionally constructed for the integral manifolds with time-independent equations. The presented approach takes into account the dynamism, time-to-time variability, of the invariance surface. A program control enabling the given dynamic stochastic system to remain within the given manifold was constructed, and an example was given.
Semantic place classification of indoor environments with mobile robots using boosting
Authors: Axel Rottmann, Óscar Martínez Mozos, Cyrill Stachniss, Wolfram Burgard
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 3 (2005)

Indoor environments can typically be divided into places with different functionalities like kitchens, offices, or seminar rooms. We believe that such semantic information enables a mobile robot to more efficiently accomplish a variety of tasks such as human-robot interaction, path-planning, or localization. This paper presents a supervised learning approach to label different locations using boosting. We train a classifier using features extracted from vision and laser range data. Furthermore, we apply a Hidden Markov Model to increase the robustness of the final classification. Our technique has been implemented and tested on real robots as well as in simulation. The experiments demonstrate that our approach can be utilized to robustly classify places into semantic categories. We also present an example of localization using semantic labeling.
Magic Lantern Guides: Nikon D60 Multimedia Workshop
Authors: Lark Books
Venue:  (2009)

Magic Lantern Guides Multimedia WorkshopsThe worlds best photographic package! Magic Lantern Guides and DVDs have always provided the very best, most in-depth coverage of a cameras ins-and-outs. Now, theres even more magic on the market for photographers: the MAGIC LANTERN MULTIMEDIA WORKSHOP. Its a complete class in digital photography with a D-SLR cameraone that enables you to learn the essentials at your own pace, in the comfort in your own home. The attractive package includes:- Specific 80-minute DVD: An authoritative DVD guide made just for your model. Created by photographers for photographers, it covers specific camera features and functions. The format allows you to navigate easily between different topics and review chapters any time.- Taking Great Digital Photos: This full-color, 64-page book gets newcomers to the digital world started right. Packed with picture-taking tips and information on digital file formats, it explains how f/stops and shutter speeds work together to create an exposure, which focal lengths are best for various subjects, and how to get accurate color with white balance.- Great Photos with Your Digital SLR 60-minute DVD: This live-action tutorial demystifies digital shooting, and shows how to compose photos; choose the best picture-quality settings; improve results with the built-in flash; and interpret your histogram. Plus, see when to trust your cameras automatic settingsor change them yourself. - Quick Reference Wallet Card: This laminated take-along is an ideal in-the-field key to camera and menu operations.Theres nothing else like this on the market! The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player