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TL-PLSA: Transfer Learning between Domains with Different Classes

TL-PLSA: Transfer Learning between Domains with Different Cl...

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IEEE International Conference on Data Mining (ICDM)

作者： Anastasia Krithara Georgios Paliouras Software and Knowledge Engineering Laboratory National Center for Scientific Research (NCSR) “Demokritosℍ Athens Greece

ISBN: (纸本)9781479913282

A new transfer learning method is presented in this paper, addressing a particularly hard transfer learning problem: the case where the target domain shares only a subset of its classes with the source domain and only unlabeled data are provided for the target domain. This is a situation that occurs frequently in real-world applications, such as the multiclass document classification problems that motivated our work. The proposed approach is a transfer learning variant of the Probabilistic Latent Semantic Analysis (PLSA) model that we name TL-PLSA. Unlike most approaches in the literature, TL-PLSA captures both the difference of the domains and the commonalities of the class sets, given no labelled data from the target domain. We perform experiments over three different datasets and show the difficulty of the task, as well as the promising results that we obtained with the new method.

关键词： Mathematical model Probabilistic logic Data models Training Graphical models Semantics Training data

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Demo-SocioPhone: Everyday face-to-face interaction monitoring platform using multi-phone sensor fusion

Demo-SocioPhone: Everyday face-to-face interaction monitorin...

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11th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2013

作者： Lee, Youngki Min, Chulhong Hwang, Chanyou Lee, Jaeung Hwang, Inseok Ju, Younghyun Yoo, Chungkuk Moon, Miri Lee, Uichin Song, Junehwa School of Information Systems Singapore Management University Singapore Computer Science Department KAIST Korea Republic of Web Science and Technology Division KAIST Korea Republic of Center for Mobile Software Platform KAIST Korea Republic of Knowledge Service Engineering Department KAIST Korea Republic of

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SocioPhone: Everyday face-to-face interaction monitoring platform using multi-phone sensor fusion 13

SocioPhone: Everyday face-to-face interaction monitoring pla...

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11th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2013

ISBN: (纸本)9781450316729

In this paper, we propose SocioPhone, a novel initiative to build a mobile platform for face-to-face interaction monitoring. Face-to-face interaction, especially conversation, is a fundamental part of everyday life. Interaction-aware applications aimed at facilitating group conversations have been proposed, but have not proliferated yet. Useful contexts to capture and support face-to-face interactions need to be explored more deeply. More important, recognizing delicate conversational contexts with commodity mobile devices requires solving a number of technical challenges. As a first step to address such challenges, we identify useful meta-linguistic contexts of conversation, such as turn-takings, prosodic features, a dominant participant, and pace. These serve as cornerstones for building a variety of interaction-aware applications. SocioPhone abstracts such useful meta-linguistic contexts as a set of intuitive APIs. Its runtime efficiently monitors registered contexts during in-progress conversations and notifies applications on-the-fly. Importantly, we have noticed that online turn monitoring is the basic building block for extracting diverse meta-linguistic contexts, and have devised a novel volume-topography-based method. We show the usefulness of SocioPhone with several interesting applications: SocioTherapist, SocioDigest, and Tug-of-War. Also, we show that our turnmonitoring technique is highly accurate and energy-efficient under diverse real-life situations. Copyright 2013 ACM.

关键词： Linguistics

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Three-phase heuristic for Inventory Routing Problem

Three-phase heuristic for Inventory Routing Problem

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IIE Annual Conference and Expo 2013

作者： Ramkumar, N. Pazhani, Subramanian Narendran, T.T. Ganesh, K. Logistics Division JDA Software India Private Limited India Harold and Inge Marcus Department of Industrial and Manufacturing Engineering Pennsylvania State University University Park United States Department of Management Studies Indian Institute of Technology Madras Chennai Tamilnadu India McKinsey Knowledge Center India Private Limited Supply Chain Management - Center of Competence McKinsey and Company India

ISBN: (纸本)9780983762423

Vendor Managed Inventory systems require integration of distribution and routing which constitute the Inventory Routing Problem (IRP). IRP involves decisions on timing of deliveries, on sizes of shipments and on routing of vehicles. An IRP with a single manufacturer which supplies a product to a set of warehouses is taken for this study. We develop an Integer Linear Program to model the problem. We propose a three-phased approach called CAR, i.e., Clustering of receiver nodes, Allocation of quantities to these nodes and Routing of delivery vehicles through clusters of nodes. We develop two heuristics, based on this approach. Trials conducted over a large number of data sets provide encouraging results.

关键词： Integer programming

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Classification rules for requirements observation

Classification rules for requirements observation

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IADIS International Conference on Information Systems 2013, IS 2013

作者： Nakatani, Takako Sano, Toshikazu Okano, Michitaro Kondo, Narihito Fujiwara, Yukiko Nakazato, Ryu Inoki, Mari Hori, Shozo Tsumaki, Toshihiko Tsuda, Michio Katamine, Keiichi Univ. of Tsukuba 3-29-1 Otsuka Bunkyo Tokyo112-0012 Japan Nagoya Management Junior College Japan Knowledge Discovery Research Laboratories NEC Japan Software Engineering Center TOSHIBA Corporation Japan Advanced IT Laboratory Toshiba Solutions Corporation Japan YASKAWA Information Systems Corporation Japan National Institute of Informatics Japan Osaka University Japan Kyushu Institute of Technology Japan

ISBN: (纸本)9789728939830

The purpose of our research is to enable the management of the requirements elicitation process. To manage something, we fist have to observe it quantitatively. Therefore, to manage the requirements elicitation process, we must observe the process quantitatively. We are currently trying to observe requirements quantitatively in accordance with their categories. In general, requirements are classified into two categories: functional and non-functional. The requirements categories can be refined to more adequately observe them. We defined the taxonomy of requirements. In this paper, the classification rules of words in requirements are proposed. A prototype tool was developed, and named the "requirements counting tool (RCT)," with classification rules and morphological analysis. The rules were evaluated by comparing the results of the RCT and manual classification with the logrank test. In the paper, the results are shown, and the adequacy of the rules is confirmed. © 2013 IADIS.

关键词： Requirements engineering

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Detecting human features in summaries - Symbol sequence statistical regularity

Detecting human features in summaries - Symbol sequence stat...

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7th Hellenic Conference on Artificial Intelligence, SETN 2012

作者： Giannakopoulos, George Karkaletsis, Vangelis Vouros, George A. Software and Knowledge Engineering Laboratory National Center of Scientific Research Demokritos Greece Department of Digital Systems University of Pireaus Greece

ISBN: (纸本)9783642304477

The presented work studies textual summaries, aiming to detect the qualities of human multi-document summaries, in contrast to automatically extracted ones. The measured features are based on a generic statistical regularity measure, named Symbol Sequence Statistical Regularity (SSSR). The measure is calculated over both character and word n-grams of various ranks, given a set of human and automatically extracted multi-document summaries from two different corpora. The results of the experiments indicate that the proposed measure provides enough distinctive power to discriminate between the human and non-human summaries. The results hint on the qualities a human summary holds, increasing intuition related to how a good summary should be generated. © 2012 Springer-Verlag.

关键词： Computers

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Local Cloud Storage: Temporal local file sharing with previously paired wireless memories and cross-layer simultaneous data transmission mechanism

Local Cloud Storage: Temporal local file sharing with previo...

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2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012

作者： Arakawa, Yutaka Tanaka, Yuta Tagashira, Shigeaki Fukuda, Akira Graduate School of Information Science and Electrical Engineering Kyushu University Fukuoka Japan Department of Knowledge Management German Research Center for Artificial Intelligence Kaiserslautern Germany Corporate Software Engineering Center Toshiba Corporation Tokyo Japan Faculty of Informatics Kansai University Osaka Japan

ISBN: (纸本)9780769548586

In this paper, we propose a novel file-sharing system called Local Cloud Storage (LCS), based on the leading-edge device called "wireless memory" such as Eye-Fi and Flash Air. Most interesting point is that wireless configuration of multiple devices is previously configured to communicate with each other. As a result, these devices are recognized as just a memory on operating systems. If a user adds a file into the mounted memory, the file is distributed to other memory via the pre-configured wireless connection unconsciously. In addition to the concept of LCS, we also propose a novel Cross-layer Simultaneous Data Transmission Mechanism (CSDTM) based on UDP broadcast in 802.11 for accelerating single-hop data simultaneous distribution between devices. Of course, a normal TCP can be adopted for data transmission in LCS. However, by adopting UDP broadcast, we can realize simultaneous data transmission to multiple receivers. Since UDP broadcast in wireless network is so unreliable, it hasn't been used for data transmission. However, by adding our designed application layer retransmission mechanism, CSDTM achieves 100% data transmission in our assumed environment. Through the performance evaluation of CSDTM, we show that it transmit data to four receivers within half the time a conventional method takes. © 2012 IEEE.

关键词： Data transfer

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WiFiTag: Direct link from the real world to online digital contents

WiFiTag: Direct link from the real world to online digital c...

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2012 7th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2012

作者： Arakawa, Yutaka Sonoda, Yuki Tagashira, Shigeaki Fukuda, Akira Graduate School of Information Science and Electrical Engineering Kyushu University Fukuoka Japan Department of Knowledge Management German Research Center for Artificial Intelligence Kaiserslautern Germany Corporate Software Engineering Center Toshiba Corporation Tokyo Japan Faculty of Informatics Kansai University Osaka Japan

ISBN: (纸本)9781467329910

WiFiTag is a simple and low cost solution for associating the real world to the online media such as web sites and YouTube. Our idea is to redirect a user's access based on the information of surrounding WiFi access points. Compared with WiFi-based indoor positioning system, our system requires no calculation and no much access points. This is because our system associates the digital content not with the location but with the AP itself. as the information of AP, we use ESSID, BSSID, and RSSI. by uploading a scanned WiFi information to the WiFiTag server, a terminal can get the proper URL as a response. Relationship between the WiFiTag and the URL have been defined ahead. WiFiTag realize "real to virtual" connection easily. for example, by associating lab's SSID to lab's HP, a visitor can access a lab's HP easily and directly, when the visitor comes to our lab. a camera required for QR code don't need for our system. in addition, a special card reader and touch action required for NFC are also unnecessary. If WiFi has already exist, no additional cost is necessary for our system. in this paper, we describe a overall concept of WiFiTag and show the availability and feasibility of our proposed system through some experimental evaluation results. © 2012 IEEE.

关键词： Wireless local area networks (WLAN)

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Image processing for three-dimensional scans generated by time-of-flight range cameras

Image processing for three-dimensional scans generated by ti...

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作者： Schöner, Holger Bauer, Frank Dorrington, Adrian Heise, Bettina Wieser, Volkmar Payne, Andrew Cree, Michael J. Moser, Bernhard Software Competence Center Hagenberg 4232 Hagenberg Austria Johannes Kepler University of Linz Department of Knowledge-based Mathematical Systems 4232 Hagenberg Austria University of Waikato Department of Engineering Hamilton 3240 New Zealand

Time-of-flight (TOF) full-field range cameras use a correlative imaging technique to generate three-dimensional measurements of the environment. Though reliable and cheap they have the disadvantage of high measurement noise and errors that limit the practical use of these cameras in industrial applications. We show how some of these limitations can be overcome with standard image processing techniques specially adapted to TOF camera data. Additional information in the multimodal images recorded in this setting, and not available in standard image processing settings, can be used to improve reduction of measurement noise. Three extensions of standard techniques, wavelet thresholding, adaptive smoothing on a clustering based image segmentation, and an extended anisotropic diffusion filtering, make use of this information and are compared on synthetic data and on data acquired from two different off-the-shelf TOF cameras. Of these methods, the adapted anisotropic diffusion technique gives best results, and is implementable to perform in real time using current graphics processing unit (GPU) hardware. Like traditional anisotropic diffusion, it requires some parameter adaptation to the scene characteristics, but allows for low visualization delay and improved visualization of moving objects by avoiding long averaging periods when compared to traditional TOF image denoising. © 2012 SPIE and IS&T.

关键词： Visualization

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Towards enriching linked open data via open information extraction

Towards enriching linked open data via open information extr...

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1st International Workshop on knowledge Discovery and Data Mining Meets Linked Open Data, KNOW@LOD 2012

作者： Koukourikos, Antonis Karkaletsis, Vangelis Vouros, George University of Piraeus Department of Digital Systems 80 Karaoli and Dimitriou Str. Piraeus 18534 Greece Software and Knowledge Engineering Laboratory Institute of Informatics and Telecommunications National Center for Scientific Research Demokritos Agia Paraskevi Attikis P.O. Box 60228 15310 Athens Greece

The descriptions of various entities on Linked Data repositories are subject to constant renewals and modifications, with respect to both the descriptions of concepts and relations and entities realizing their instantiations. Thus, the underlying ontologies have to be updated accordingly in order to reflect these changes. This paper presents a system for examining the possibilities of discovering new relations and updating/verifying existing ones for entities described in Linked Data repositories by using Open Information Extraction techniques. These are applied to web content. The process aims to the enrichment of the examined datasets and the expansion of the ontologies with newly-discovered concepts and relations. Towards this target, the paper discusses the intricacies, pitfalls and challenges present.

关键词： Linked data

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