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KDD
2008
ACM
115views Data Mining» more  KDD 2008»
16 years 5 months ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
15 years 11 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
AVSS
2006
IEEE
15 years 11 months ago
A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition
In this paper we address the spatial activity recognition problem with an algorithm based on Smith-Waterman (SW) local alignment. The proposed SW approach utilises dynamic program...
Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu
138
Voted
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
15 years 10 months ago
Video with Ground-Truth for Validation of Visual Registration, Tracking and Navigation Algorithms
A fundamental task in computer vision is that of determining the position and orientation of a moving camera relative to an observed object or scene. Many such visual tracking alg...
Rustam Stolkin, Alistair Greig, John Gilby
149
Voted
SIGGRAPH
1999
ACM
15 years 9 months ago
Deep Compression for Streaming Texture Intensive Animations
This paper presents a streaming technique for synthetic texture intensive 3D animation sequences. There is a short latency time while downloading the animation, until an initial f...
Daniel Cohen-Or, Yair Mann, Shachar Fleishman