ppxscal/embedding_network huggingface dataset:
Sputnik Tracker: Having a Companion Improves Robustness of the Tracker
Authors: Lukáš Cerman, Jiří Matas, Václav Hlaváč
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

Tracked objects rarely move alone. They are often temporarily accompanied by other objects undergoing similar motion. We propose a novel tracking algorithm called Sputnik Tracker. It is capable of identifying which image regions move coherently with the tracked object. This information is used to stabilize tracking in the presence of occlusions or fluctuations in the appearance of the tracked object, without the need to model its dynamics. In addition, Sputnik Tracker is based on a novel template tracker integrating foreground and background appearance cues. The time varying shape of the target is also estimated in each video frame, together with the target position. The time varying shape is used as another cue when estimating the target position in the next frame.
Interventions in Possibilistic Logic
Authors: Salem Benferhat, Didier Dubois, Henri Prade
Venue: Proceedings of the 3rd International Conference on Scalable Uncertainty Management (2009)

An intervention is a tool that enables us to distinguish between causality and simple correlation. The use of interventions has been only implemented in Bayesian net structures (or in their possibilistic counterpart) until now. The paper proposes an approach to the representation and the handling of intervention-like pieces of knowledge, in the setting of possibilistic logic. It is compatible with a modeling of the way agents perceive causal relations in reported sequences of events, on the basis of their own beliefs about how the world normally evolves. These beliefs can also be represented in a possibilistic logic framework.
SAR Image Matching Based on Speeded Up Robust Feature
Authors: Ruihua Liu, Yanguang Wang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

Speeded-Up Robust Features (SURF) is a novel scale-invariant and rotation-invariant feature. It is perfect in its high computation speed and robustness. In this paper, we apply SURF in SAR image matching accord to its characteristic, and then acquire its invariant feature for matching in an addition of no any pre-processing. In the process of image matching, we use the nearest neighbor rule for initial matching,where after, remove the wrong points of the matches through RANSAC. All this method was called R-SURF(RANSAC-SURF).In this method, the threshold range of the nearest neighbor rule has been obtained with our experiment .Experimental results indicated that the threshold interval was [0.6~0.7], and the threshold that you choose in this interval, increased little matching time, but got more than 95% correct matching rate. We used three different types of SAR images in experiments which are in order to put to the proof that SURF is more robust in scale change,rotation change and noise.
Regular Expressions with Numerical Constraints and Automata with Counters
Authors: Dag Hovland
Venue: Proceedings of the 6th International Colloquium on Theoretical Aspects of Computing (2009)

Regular expressions with numerical constraints are an extension of regular expressions, allowing to bound numerically the number of times that a subexpression should be matched. Expressions in this extension describe the same languages as the usual regular expressions, but are exponentially more succinct.We define a class of finite automata with counters and a deterministic subclass of these. Deterministic finite automata with counters can recognize words in linear time. Furthermore, we describe a subclass of the regular expressions with numerical constraints, a polynomial-time test for this subclass, and a polynomial-time construction of deterministic finite automata with counters from expressions in the subclass. 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
Speech Input from Older Users in Smart Environments: Challenges and Perspectives
Authors: Ravichander Vipperla, Maria Wolters, Kallirroi Georgila, Steve Renals
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

Although older people are an important user group for smart environments, there has been relatively little work on adapting natural language interfaces to their requirements. In this paper, we focus on a particularly thorny problem: processing speech input from older users. Our experiments on the MATCH corpus show clearly that we need age-specific adaptation in order to recognize older users' speech reliably. Language models need to cover typical interaction patterns of older people, and acoustic models need to accommodate older voices. Further research is needed into intelligent adaptation techniques that will allow existing large, robust systems to be adapted with relatively small amounts of in-domain, age appropriate data. In addition, older users need to be supported with adequate strategies for handling speech recognition errors.
Analyzing Load Case of Mill Roller Bearing with Boundary Element Method
Authors: Xia Yang, Hong Xiao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Based on three-dimensional elastic contact boundary element method, bearing rollers are described as plate-units and placed on the inner race which is placed on mill roll, and outer race is placed on shaft block, therefore, the multi-body contact problem can be simplified to two bodies contact problem. Sub-elements and micro-elements are used to realize the discontinuous distribution of surface force on the contact elements of mill roller bearing. With the elements subdivided along the direction of the length of the roller, we can obtain the load distribution along the same direction, and then more accurate load distribution of mill roller bearing can be obtained.
Method of Web Information Extraction Based on Decision Tree
Authors: Chen Hong-ye
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Due to the constantly updated characteristic of data in Web, this paper studies the decision tree technology and how to use in the field of Web information extraction. According to the datasets by information extraction, a decision tree of agricultural products market is constructed by C4.5/C5.0 algorithm, with constantly updated data to update the decision tree, and then generate the understandable rules. The experiment proves that it is feasible to realize the Web information extraction based on the decision tree.
Some single-machine and m-machine flowshop scheduling problems with learning considerations
Authors: Wen-Chiung Lee, Chin-Chia Wu
Venue: Information Sciences: an International Journal (2009)

Scheduling with learning effect has drawn many researchers' attention since Biskup [D. Biskup, Single-machine scheduling with learning considerations, European Journal of Opterational Research 115 (1999) 173-178] introduced the concept of learning into the scheduling field. Biskup [D. Biskup, A state-of-the-art review on scheduling with learning effect, European Journal of Opterational Research 188 (2008) 315-329] classified the learning approaches in the literature into two main streams. He claimed that the position-based learning seems to be a realistic model for machine learning, while the sum-of-processing-time-based learning is a model for human learning. In some realistic situations, both the machine and human learning might exist simultaneously. For example, robots with neural networks are used in computers, motor vehicles, and many assembly lines. The actions of a robot are constantly modified through self-learning in processing the jobs. On the other hand, the operators in the control center learn how to give the commands efficiently through working experience. In this paper, we propose a new learning model that unifies the two main approaches. We show that some single-machine problems and some specified flowshop problems are polynomially solvable.
Concurrent Operations for Accessing an XML Document in a Multi-user Environment
Authors: Jeang-Kuo Chen, Kuan-Chang Lu
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

In this paper, we propose four concurrency control algorithms for operations that access the same XML document in a multi-user environment. Given some key words, the search algorithm can find the elements that contain the key words. Given a path composed of tag-names and/or attributes, the update algorithm can update the specific element of a parent element located at the end of the path. The locking mechanism is used to maintain the serializability of instructions cross execution of multiple operations. Only two lock types, share lock and execution lock, are used to perform concurrency control. The techniques of breadth-first search and lock-coupling protocol are used to find the target elements when traversing an XML document. With these concurrent techniques, the proposed algorithms allow multiple users to concurrently access the same data without any error occurrence.
New Equipment of Distinguishing Rock from Coal Based on Statistical Analysis of Fast Fourier Transform
Authors: Gu Tao, Li Xu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

A new equipment of distinguishing rock from coal based on statistical analysis of Fast Fourier Transform (FFT) is invented which can be used in the mechanized caving coal locales. First, eight groups of sound signals which had been measured during caving are transformed by FFT. Second, using variance analysis method (Var), the FFT results are analyzed and the ratios(ER) of the low frequency energy to the high frequency energy specified in the signal FFT results are calculated. Third, the typical values of the sound of the coal bumping the transporting coal armor plate, the rock bumping the armor plate and the mixing of coal and rock bumping the armor plate are calculated with the variances and the ratios(EV= ER *Var). Finally, the threshold of distinguishing rock from coal is evaluated by using the typical values and used to direct the opportunity for caving. We can learn from the experimental results that the proposed technique can depict effectively the different characteristics of the sampled signals. The experimental results also show that we can distinguish effectively different bumping sounds of coal, rock and the mixing of them when adjusting the appropriate threshold value. Therefore, the technique can be used to improve the miners' productivity and promote the construction of digital mine. Batch products of GBS-12 instruments have been working safely in Mine of Shanxi Province.
Changes of HCI Methods towards the Development Process of Wearable Computing Solutions
Authors: Ingrid Rügge, Carmen Ruthenbeck, Bernd Scholz-Reiter
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

Logistics is a dynamic and heterogeneous application area for wearable computing. In this paper, wearable computing technologies are examined as basis for a support system for mobile workers at an automobile terminal under the new paradigm of autonomous controlled logistics. An appropriate wearable computing system has to fulfil different system requirements with respect to the mobile work process and the bodily conditions of the user. Therefore the requirements of wearable computing systems were defined in a participatory process with the users.
Design of Face-to-Face Multilingual Communication Environment for Illiterate People
Authors: Mai Miyabe, Takashi Yoshino
Venue: Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held as Part of HCI International 2009 (2009)

In the medical field, a serious problem exists with regard to communication between hospital staffs and patients. Currently, although a medical translator accompanies a patient to medical care facilities, round-the-clock or emergency support is difficult to provide due to increasing requests. The medical field has high expectations from information technology. Therefore, we have developed a support system for multilingual medical reception termed M3. We have installed our system in the Kyoto City Hospital in Japan. However, we found that our system cannot provide support to illiterate people. If an illiterate person and another person speak different languages, it is difficult the other person to communicate face to face with the illiterate person while explaining the meaning of texts shown on the display of the support system. This is one of the problems specific to the multilingual communication. There is a need to solve this problem. Therefore, we have developed a method to provide support to illiterate people engaging in multilingual face-to-face communication. We use a text-to-speech function implemented using a selector switch to provide support to illiterate people in performing operations using a touch screen. We performed an experiment to examine the effect of the proposed method. The results of the experiment are as follows. (1) From the results of the questionnaire, we find that the subjects are able to operate the selector switch easily. Therefore, we conclude that the method using the selector switch has little effect on the operation of the system. (2) Retrieval time using the text-to-speech function is five times that using the normal operation. We need to consider a structure that can retrieve the required information easily if many readings of texts are required.
Reducing Keypoint Database Size
Authors: Shahar Jamshy, Eyal Krupka, Yehezkel Yeshurun
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

Keypoints are high dimensional descriptors for local features of an image or an object. Keypoint extraction is the first task in various computer vision algorithms, where the keypoints are then stored in a database used as the basis for comparing images or image features. Keypoints may be based on image features extracted by feature detection operators or on a dense grid of features. Both ways produce a large number of features per image, causing both time and space performance challenges when upscaling the problem.We propose a novel framework for reducing the size of the keypoint database by learning which keypoints are beneficial for a specific application and using this knowledge to filter out a large portion of the keypoints. We demonstrate this approach on an object recognition application that uses a keypoint database. By using leave one out K nearest neighbor regression we significantly reduce the number of keypoints with relatively small reduction in performance.
What Else Is Broken? Can We Fix It?
Authors: Yale Patt
Venue: Proceedings of the 9th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation (2009)

The founder and soul of this conference, Professor Stamatis Vassiliadis, always wanted a Keynote on the beach. A keynote without PowerPoint, air conditioning, and all the other usual comforts of keynotes, comforts both for the speaker and for the audience. After all, the great thinkers of this ancient land did their thinking, teaching, and arguing without PowerPoint and without air conditioning. But they were they and we are we, and no sane SAMOS keynote speaker would put himself in the same league with those masters.Nonetheless, Stamatis wanted it, and I never found it easy to say no to Stamatis, so last year at SAMOS VIII, I agreed to give a Keynote on the Beach. It has been subsequently relabeled The Beachnote, and I have been asked to do it again.The question of course is what subject to explore in this setting, where the sound of the speaker's voice competes with the sounds of the waves banging against the shore, where the image of the speaker's gestures competes with the image of the blue sky, bright sun, and hills of Samos. I decided last summer to choose a meta-topic, rather than a hard core technical subject: "Is it broken," with particular emphasis on professors --- are they ready to teach, are they ready to do research, and students --- are they learning, is their education preparing them for what is needed after they graduate.My sense is that for this environment, a meta-topic is the right model, and so I propose to visit it again. For example: our conferences and journals. Are they broken? Can we fix them? Somewhat more technical: The interface between the software that people write to solve problems and the hardware that has to run that software. Is it broken? Can we fix it? These are just examples of some of the things we might explore in this year's Beachnote. As I said last year, I will welcome other suggestions from the audience as to what they think is broken. My hope is to have us all engaged in identifying and discussing some of the fundamental problems that plague our community.
Frolog: an accommodating text-adventure game
Authors: Luciana Benotti
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Demonstrations Session (2009)

Frolog is a text-adventure game whose goal is to serve as a laboratory for testing pragmatic theories of accommodation. To this end, rather than implementing ad-hoc mechanisms for each task that is necessary in such a conversational agent, Frolog integrates recently developed tools from computational linguistics, theorem proving and artificial intelligence planning.
May all your wishes come true: a study of wishes and how to recognize them
Authors: Andrew B. Goldberg, Nathanael Fillmore, David Andrzejewski, Zhiting Xu, Bryan Gibson, Xiaojin Zhu
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

A wish is "a desire or hope for something to happen." In December 2007, people from around the world offered up their wishes to be printed on confetti and dropped from the sky during the famous New Year's Eve "ball drop" in New York City's Times Square. We present an in-depth analysis of this collection of wishes. We then leverage this unique resource to conduct the first study on building general "wish detectors" for natural language text. Wish detection complements traditional sentiment analysis and is valuable for collecting business intelligence and insights into the world's wants and desires. We demonstrate the wish detectors' effectiveness on domains as diverse as consumer product reviews and online political discussions.
Mobile robot mapping and localization in non-static environments
Authors: Cyrill Stachniss, Wolfram Burgard
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 3 (2005)

Whenever mobile robots act in the real world, they need to be able to deal with non-static objects. In the context of mapping, a common technique to deal with dynamic objects is to filter out the spurious measurements corresponding to such objects. In this paper, we present a novel approach to estimate typical configurations of dynamic areas in the environment of a mobile robot. Our approach clusters local grid maps to identify the possible configurations. We furthermore describe how these clusters can be utilized within a Rao-Blackwellized particle filter to localize a mobile robot in a non-static environment. In practical experiments carried out with a mobile robot in a typical office environment, we demonstrate the advantages of our approach compared to alternative techniques for mapping and localization in dynamic environments.
Embodied Sound Media Technology for the Enhancement of the Sound Presence
Authors: Kenji Suzuki
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

In this paper, the paradigms of Embodied Sound Media (ESM) technology are described with several case studies. The ESM is designed to formalize a musical sound-space based on the conversion of free human movement into sounds. This technology includes the measurement of human motion, processing, acoustic conversion and output. The first idea was to introduce direct and intuitive sound feedbacks within the context of not only embodied interaction between humans and devices but also social interaction among humans. The developed system is a sort of active aid for an embodied performance that allows the users to get feedback for emotional stimuli in terms of sound surrounding the users. The overviews of several devices developed in this scenario and the potential applications to physical fitness, exercise, entertainment, assistive technology and rehabilitation are also addressed.
Speech confusion index (Φ): A confusion-based speech quality indicator and recognition rate prediction for dysarthria
Authors: Prakasith Kayasith, Thanaruk Theeramunkong
Venue: Computers Mathematics with Applications (2009)

This paper presents an automated method to help us assess the speech quality of a dysarthric speaker, in place of laborious and subjective manual methods. The assessment result can be used as a good indicator for predicting the accuracy of speech recognition. The so-called speech confusion index (@F) is proposed to measure the speech disorder severity of a speaker in terms of how easily his/her speech signal may be misrecognized to other unintended words. Based on signal processing without any high-level information, the dynamic-time-warping technique incorporated with adaptive slope constraint and accumulative mismatch score is used to measure a distance between any two speech signals of a same word or two different words. Compared to the articulatory and intelligibility tests, the proposed indicator was shown to have more predictability on the recognition rates obtained from the Hidden Markov Model (HMM) and Artificial Neural Networks (ANN). Based on three evaluation criteria, namely root-mean-square difference, correlation coefficient and rank-order inconsistency, the experimental results on a phoneme-balance set showed that @F achieved better prediction than both articulatory and intelligibility tests. Another experiment on a reduced training set is made to investigate the robustness of the proposed indicator. Finally, a detailed analysis of speech confusion is done at the phoneme level.
An Apperceived Method of Danger Signals for Computer Systems Based on Cloud Model
Authors: He Yang, Yiwen Liang
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

Danger Theory is a novel method of BiologicalImmunology. Artificial Immune Systems researchers may extract benefits from the theory, especially in anomaly detection. The definition of danger signals is one of the most important problems in Danger Theory. For the distinction between danger and safety is fuzzy and precarious, the precise calculation method is not suit for this problem. Cloud Model is an effective tool to transform qualitative concepts into quantitative expressions for uncertain problems. In this paper, a suggestive definition of danger signals based on Cloud Model is presented. The changes of key features of a computer system are collected and integrate by the rules generator based on Cloud Model, and danger signalsare presented. The experimental results demonstrated that the proposed definition of danger signals is feasible.