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» Learning Generative Models via Discriminative Approaches
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123
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CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
16 years 7 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
ACL
2010
14 years 10 months ago
Automatic Generation of Story Highlights
In this paper we present a joint content selection and compression model for single-document summarization. The model operates over a phrase-based representation of the source doc...
Kristian Woodsend, Mirella Lapata
ECCV
2006
Springer
16 years 2 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
99
Voted
ACL
2011
14 years 4 months ago
In-domain Relation Discovery with Meta-constraints via Posterior Regularization
We present a novel approach to discovering relations and their instantiations from a collection of documents in a single domain. Our approach learns relation types by exploiting m...
Harr Chen, Edward Benson, Tahira Naseem, Regina Ba...
139
Voted
SIGGRAPH
1998
ACM
15 years 4 months ago
A Beam Tracing Approach to Acoustic Modeling for Interactive Virtual Environments
Virtual environment research has focused on interactive image generation and has largely ignored acoustic modeling for spatialization of sound. Yet, realistic auditory cues can co...
Thomas A. Funkhouser, Ingrid Carlbom, Gary Elko, G...