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    ETVC
    2008
    348views Applied Computing» more  ETVC 2008»
    Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing
    13 years 10 months ago
    Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing
    Download  www.informationgeometry.org
    s of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing Frank Nielsen Ecole Polytechnique, Palaiseau, France Sony CSL, Tokyo, Japan Abstract. We list the abstracts o...
    Frank Nielsen
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    PDPTA
    2008
    119views Distributed And Parallel Com...» more  PDPTA 2008»
    Predicting Web Cache Behavior using Stochastic State-Space Models
    13 years 10 months ago
    Predicting Web Cache Behavior using Stochastic State-Space Models
    Download  www.cse.psu.edu
    Web caches play an important role in improving the surfing experience of Web clients and reducing the network traffic seen by Web servers. Accurate analytical models of Web caches ...
    Amitayu Das, Ritendra Datta, Bhuvan Urgaonkar, Ana...
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    ACTAC
    2006
    126views more  ACTAC 2006»
    Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
    13 years 9 months ago
    Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
    Download  www.inf.u-szeged.hu
    In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
    Richárd Farkas, György Szarvas, Andr&a...
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    KDD
    2004
    ACM
    209views Data Mining» more  KDD 2004»
    Tracking dynamics of topic trends using a finite mixture model
    14 years 9 months ago
    Tracking dynamics of topic trends using a finite mixture model
    Download  www.ibis.t.u-tokyo.ac.jp
    In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
    Satoshi Morinaga, Kenji Yamanishi
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    WSDM
    2012
    ACM
    309views Data Mining» more  WSDM 2012»
    Mining contrastive opinions on political texts using cross-perspective topic model
    12 years 4 months ago
    Mining contrastive opinions on political texts using cross-perspective topic model
    Download  www.cs.purdue.edu
    This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
    Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
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