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» Object Recognition Using Segmentation for Feature Detection
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SIGDIAL
2010
15 years 4 months ago
Online Error Detection of Barge-In Utterances by Using Individual Users' Utterance Histories in Spoken Dialogue System
We develop a method to detect erroneous interpretation results of user utterances by exploiting utterance histories of individual users in spoken dialogue systems that were deploy...
Kazunori Komatani, Hiroshi G. Okuno
CVPR
2008
IEEE
16 years 8 months ago
Decomposition, discovery and detection of visual categories using topic models
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
Mario Fritz, Bernt Schiele
VMV
2008
162views Visualization» more  VMV 2008»
15 years 7 months ago
Learning Distinctive Local Object Characteristics for 3D Shape Retrieval
While supervised learning approaches for 3D shape retrieval have been successfully used to incorporate human knowledge about object classes based on global shape features, the inc...
Raoul Wessel, Rafal Baranowski, Reinhard Klein
CVPR
2008
IEEE
16 years 8 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen
ICMCS
2007
IEEE
203views Multimedia» more  ICMCS 2007»
16 years 21 days ago
Efficient Video Object Segmentation by Graph-Cut
Segmentation of video objects from background is a popular computer vision problem and has many important applications. Most existing methods are either computationally expensive ...
Jinjun Wang, Wei Xu, Shenghuo Zhu, Yihong Gong