1859 search results - page 168 / 372 » Using Problems to Learn Service-Oriented Computing |
160
Voted
NIPS
2000
15 years 7 months ago
2000
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
165
click to vote
FOCS
2009
IEEE
15 years 4 months ago
2009
IEEE
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
154
Voted
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
187
click to vote
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
156
click to vote
CVPR
2007
IEEE
16 years 20 days ago
2007
IEEE
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...