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CVPR
2007
IEEE
14 years 11 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
ICIP
2003
IEEE
14 years 11 months ago
A highly efficient multiplication-free binary arithmetic coder and its application in video coding
A novel and highly efficient algorithm of multiplicarionfree binary arithmetic coding is proposed. Our proposed method relies on simple table lookupsfor performing the computation...
Detlev Marpe, Thomas Wiegand
IPMI
2009
Springer
14 years 10 months ago
Cortical Correspondence with Probabilistic Fiber Connectivity
Abstract. This paper presents a novel method of optimizing pointbased correspondence among populations of human cortical surfaces by combining structural cues with probabilistic co...
Ipek Oguz, Marc Niethammer, Joshua E. Cates, Ross ...
ICML
2003
IEEE
14 years 10 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
KDD
2006
ACM
112views Data Mining» more  KDD 2006»
14 years 10 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen