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KDD
2006
ACM
177views Data Mining» more  KDD 2006»
16 years 7 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
16 years 7 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
CHI
2006
ACM
16 years 7 months ago
Peekaboom: a game for locating objects in images
We introduce Peekaboom, an entertaining web-based game that can help computers locate objects in images. People play the game because of its entertainment value, and as a side eff...
Luis von Ahn, Ruoran Liu, Manuel Blum
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
16 years 1 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
16 years 26 days 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