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» Learning to Detect A Salient Object
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CVPR
2009
IEEE
15 years 6 months ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...
ICSM
2006
IEEE
15 years 5 months ago
Using the Case-Based Ranking Methodology for Test Case Prioritization
The test case execution order affects the time at which the objectives of testing are met. If the objective is fault detection, an inappropriate execution order might reveal most ...
Paolo Tonella, Paolo Avesani, Angelo Susi
79
Voted
CSB
2002
IEEE
109views Bioinformatics» more  CSB 2002»
15 years 4 months ago
Towards Automatic Clustering of Protein Sequences
Analyzing protein sequence data becomes increasingly important recently. Most previous work on this area has mainly focused on building classification models. In this paper, we i...
Jiong Yang, Wei Wang 0010
IJCV
2010
574views more  IJCV 2010»
14 years 10 months ago
Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding
We propose a novel approach to understanding activities from their partial observations monitored through multiple non-overlapping cameras separated by unknown time gaps. In our...
Chen Change Loy, Tao Xiang, Shaogang Gong
102
Voted
ICASSP
2011
IEEE
14 years 3 months ago
Occlusion-based depth ordering on monocular images with Binary Partition Tree
This paper proposes a system to relate objects in an image using occlusion cues and arrange them according to depth. The system does not rely on any a priori knowledge of the scen...
Guillem Palou, Philippe Salembier