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» A comparative study of two object recognition methods
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BMCBI
2007
116views more  BMCBI 2007»
15 years 4 months ago
Linear array of conserved sequence motifs to discriminate protein subfamilies: study on pyridine nucleotide-disulfide reductases
Background: The pyridine nucleotide disulfide reductase (PNDR) is a large and heterogeneous protein family divided into two classes (I and II), which reflect the divergent evoluti...
César L. Avila, Viviana A. Rapisarda, Ricar...
CVPR
2010
IEEE
15 years 9 months ago
Latent Hierarchical Structural Learning for Object Detection
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
Leo Zhu, Yuanhao Chen, Antonio Torralba, Alan Yuil...
ICRA
2010
IEEE
119views Robotics» more  ICRA 2010»
15 years 2 months ago
Recognition of situation classes at road intersections
— The recognition and prediction of situations is an indispensable skill of future driver assistance systems. This study focuses on the recognition of situations involving two ve...
Eugen Kafer, Christoph Hermes, Christian Wöhl...
PAKDD
2010
ACM
178views Data Mining» more  PAKDD 2010»
15 years 8 months ago
SkyDist: Data Mining on Skyline Objects
The skyline operator is a well established database primitive which is traditionally applied in a way that only a single skyline is computed. In this paper we use multiple skylines...
Christian Böhm, Annahita Oswald, Claudia Plan...
ECCV
2008
Springer
15 years 5 months ago
Robust Object Tracking by Hierarchical Association of Detection Responses
Abstract. We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. At the low lev...
Chang Huang, Bo Wu, Ramakant Nevatia