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136
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ICIP
2008
IEEE
16 years 5 months ago
Implicit spatial inference with sparse local features
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...
Deirdre O'Regan, Anil C. Kokaram
144
Voted
IJAR
2010
130views more  IJAR 2010»
15 years 2 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
147
Voted
EELC
2006
125views Languages» more  EELC 2006»
15 years 7 months ago
How Do Children Develop Syntactic Representations from What They Hear?
nstructional schemas, both specific and abstract. Children are thought to start out with concrete pieces of language and to gradually develop more schematic constructions. All cons...
Elena Lieven
155
Voted
MM
2009
ACM
221views Multimedia» more  MM 2009»
15 years 10 months ago
Using large-scale web data to facilitate textual query based retrieval of consumer photos
The rapid popularization of digital cameras and mobile phone cameras has lead to an explosive growth of consumer photo collections. In this paper, we present a (quasi) real-time t...
Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo
145
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NIPS
2000
15 years 5 months ago
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
John W. Fisher III, Trevor Darrell, William T. Fre...