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» Leveraging COUNT Information in Sampling Hidden Databases
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IROS
2007
IEEE
129views Robotics» more  IROS 2007»
14 years 1 months ago
Representability of human motions by factorial hidden Markov models
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
TIT
1998
79views more  TIT 1998»
13 years 7 months ago
Capacity of Two-Layer Feedforward Neural Networks with Binary Weights
— The lower and upper bounds for the information capacity of two-layer feedforward neural networks with binary interconnections, integer thresholds for the hidden units, and zero...
Chuanyi Ji, Demetri Psaltis
INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
13 years 9 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
SOCIALCOM
2010
13 years 5 months ago
Traffic in Social Media I: Paths Through Information Networks
Wikipedia is used every day by people all around the world, to satisfy a variety of information needs. We crosscorrelate multiple Wikipedia traffic data sets to infer various behav...
Jacob Ratkiewicz, Alessandro Flammini, Filippo Men...
CIKM
2006
Springer
13 years 11 months ago
CP/CV: concept similarity mining without frequency information from domain describing taxonomies
Domain specific ontologies are heavily used in many applications. For instance, these form the bases on which similarity/dissimilarity between keywords are extracted for various k...
Jong Wook Kim, K. Selçuk Candan