940 search results - page 67 / 188 » Learning Word Representations from Relational Graphs |
126
Voted
STOC
1993
ACM
15 years 7 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
163
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PAMI
2008
15 years 3 months ago
2008
This paper presents a hierarchical-compositional model of human faces, as a three-layer AND-OR graph to account for the structural variabilities over multiple resolutions. In the A...
160
Voted
NIPS
2000
15 years 5 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
132
Voted
CIARP
2004
Springer
15 years 9 months ago
2004
Springer
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
154
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CVPR
1999
IEEE
16 years 5 months ago
1999
IEEE
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...