762 search results - page 106 / 153 » The Necessity of Combining Adaptation Methods |
ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
Active contours are adapted to image segmentation by energy minimization. The energies often exhibit local minima, requiring regularization. Such an a priori can be expressed as a...
109
Voted
ICPR
2000
IEEE
16 years 1 months ago
2000
IEEE
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
98
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
101
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
CHI
2009
ACM
16 years 1 months ago
2009
ACM
TYPERIGHT is a new tactile input device for text entry. It combines the advantages of tactile feedback with error prevention methods of word processors. TYPERIGHT extends the stan...