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120
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ICPR
2006
IEEE
16 years 3 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
MM
2004
ACM
124views Multimedia» more  MM 2004»
15 years 7 months ago
An online-optimized incremental learning framework for video semantic classification
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
Jun Wu, Xian-Sheng Hua, HongJiang Zhang, Bo Zhang
115
Voted
MICCAI
2010
Springer
15 years 24 days ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios
ICPR
2004
IEEE
16 years 3 months ago
Car Detection Based on Multi-Cues Integration
In this paper we present a novel fast multi-cues based car detection technique in still outdoor images. On the bottom level, two novel area templates based on edge cue and interes...
Hanqing Lu, James Hu, Keiichi Uchimura, Zhenfeng Z...
ECCV
2002
Springer
16 years 4 months ago
Space-Time Tracking
Abstract. We propose a new tracking technique that is able to capture non-rigid motion by exploiting a space-time rank constraint. Most tracking methods use a prior model in order ...
Lorenzo Torresani, Christoph Bregler