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» MuFeSaC: Learning When to Use Which Feature Detector
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RAS
2010
164views more  RAS 2010»
13 years 7 months ago
Bridging the gap between feature- and grid-based SLAM
One important design decision for the development of autonomously navigating mobile robots is the choice of the representation of the environment. This includes the question which...
Kai M. Wurm, Cyrill Stachniss, Giorgio Grisetti
ICCV
2009
IEEE
1198views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Implicit Color Segmentation Features for Pedestrian Detection
We investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Trig...
Patrick Ott and Mark Everingham
BMCBI
2008
147views more  BMCBI 2008»
13 years 9 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
ICPR
2010
IEEE
14 years 2 months ago
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference
While existing face recognition systems based on local features are robust to issues such as misalignment, they can exhibit accuracy degradation when comparing images of differing...
Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian...
TRECVID
2008
13 years 10 months ago
The MediaMill TRECVID 2008 Semantic Video Search Engine
In this paper we describe our TRECVID 2008 video retrieval experiments. The MediaMill team participated in three tasks: concept detection, automatic search, and interactive search...
Cees G. M. Snoek, Koen E. A. van de Sande, Ork de ...