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» Segmentation Informed by Manifold Learning
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SG
2007
Springer
14 years 1 months ago
Correlating Text and Images: Concept and Evaluation
This paper presents the concept and an evaluation of a novel approach to support students to understand complex spatial relations and to learn unknown terms of a domain-specific t...
Timo Götzelmann, Pere-Pau Vázquez, Knu...
ECCV
2004
Springer
14 years 9 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
ICIP
2008
IEEE
14 years 9 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
WACV
2008
IEEE
14 years 1 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins
DMKD
2003
ACM
110views Data Mining» more  DMKD 2003»
14 years 22 days ago
Weave amino acid sequences for protein secondary structure prediction
Given a known protein sequence, predicting its secondary structure can help understand its three-dimensional (tertiary) structure, i.e., the folding. In this paper, we present an ...
Xiaochun Yang, Bin Wang