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» Learning the Structure of Deep Sparse Graphical Models
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AAAI
2011
12 years 8 months ago
Using Semantic Cues to Learn Syntax
We present a method for dependency grammar induction that utilizes sparse annotations of semantic relations. This induction set-up is attractive because such annotations provide u...
Tahira Naseem, Regina Barzilay
HIPS
1998
IEEE
14 years 28 days ago
A Graph-Based Framework for the Definition of Tools Dealing with Sparse and Irregular Distributed Data Structures
Industrial applications use specific problem-oriented implementations of large sparse and irregular data structures. Hence there is a need for tools that make it possible for deve...
Jean-Michel Lépine, Serge Chaumette, Frank ...
GRAPHITE
2006
ACM
14 years 2 months ago
GPU-based rendering of sparse low-degree implicit surfaces
Implicit surface is a well-known surface representation. Geometric details of an object can be represented using less surface primitives than other representations such as polygon...
Takashi Kanai, Yutaka Ohtake, Hiroaki Kawata, Kiwa...
CVPR
2005
IEEE
14 years 10 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
ECAI
2004
Springer
14 years 2 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana