2865 search results - page 295 / 573 » Learning Models for Object Recognition |
131
Voted
NN
1997
Springer
15 years 7 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
141
Voted
ICB
2007
Springer
15 years 7 months ago
2007
Springer
Many applications require tracking and recognition of multiple faces at distances, such as in video surveillance. Such a task, dealing with non-cooperative objects is more challeng...
151
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
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...
143
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
153
click to vote
CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
Indexing echocardiogram videos at different levels of structure is essential for providing efficient access to their content for browsing and retrieval purposes. We present a nove...