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» Combining Attention and Value Maps
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ECCV
2006
Springer
15 years 11 months ago
Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation
We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
Nan Hu, Weimin Huang, Surendra Ranganath
BMCBI
2005
132views more  BMCBI 2005»
14 years 9 months ago
CLPM: A Cross-Linked Peptide Mapping Algorithm for Mass Spectrometric Analysis
Background: Protein-protein, protein-DNA and protein-RNA interactions are of central importance in biological systems. Quadrapole Time-of-flight (Q-TOF) mass spectrometry is a sen...
Yong Tang, Yingfeng Chen, Cheryl F. Lichti, Roger ...
WSOM
2009
Springer
15 years 2 months ago
Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood
Abstract. The distribution of a class of objects, such as images depicting a specific topic, can be studied by observing the best-matching units (BMUs) of the objects’ feature v...
Mats Sjöberg, Jorma Laaksonen
MM
2006
ACM
330views Multimedia» more  MM 2006»
15 years 3 months ago
Visual attention detection in video sequences using spatiotemporal cues
Human vision system actively seeks interesting regions in images to reduce the search effort in tasks, such as object detection and recognition. Similarly, prominent actions in v...
Yun Zhai, Mubarak Shah
IWINAC
2005
Springer
15 years 3 months ago
Model Performance for Visual Attention in Real 3D Color Scenes
Abstract. Visual attention is the ability of a vision system, be it biological or artificial, to rapidly detect potentially relevant parts of a visual scene. The saliency-based mo...
Heinz Hügli, Timothée Jost, Nabil Ouer...