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» Learning Flexible Features for Conditional Random Fields
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NIPS
2004
14 years 11 months ago
Conditional Models of Identity Uncertainty with Application to Noun Coreference
Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and m...
Andrew McCallum, Ben Wellner
ECCV
2006
Springer
15 years 11 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...
BMCBI
2007
113views more  BMCBI 2007»
14 years 9 months ago
Hinge Atlas: relating protein sequence to sites of structural flexibility
Background: Relating features of protein sequences to structural hinges is important for identifying domain boundaries, understanding structure-function relationships, and designi...
Samuel Flores, Long J. Lu, Julie Yang, Nicholas Ca...
EMMCVPR
2011
Springer
13 years 9 months ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr
CVPR
2007
IEEE
15 years 11 months ago
Cast Shadow Removal Combining Local and Global Features
In this paper, we present a method using pixel-level information, local region-level information and global-level information to remove shadow. At the pixel-level, we employ GMM t...
Zhou Liu, Kaiqi Huang, Tieniu Tan, Liangsheng Wang