357 search results - page 13 / 72 » Learning an Information Theoretic Transform for Object Detec... |
136
Voted
ICIP
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
161
Voted
NIPS
2004
15 years 5 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
97
Voted
GI
2001
Springer
15 years 8 months ago
2001
Springer
Experience-based continuous learning is essential for improving products, processes, and technologies in emerging as well as established areas of business and engineering science....
130
Voted
NIPS
2001
15 years 5 months ago
2001
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
154
Voted
WEBDB
2010
Springer
15 years 8 months ago
2010
Springer
An important requirement for emerging applications which aim to locate and integrate content distributed over the Web is to identify pages that are relevant for a given domain or ...