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» Multiple Kernels for Object Detection
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SMC
2007
IEEE
123views Control Systems» more  SMC 2007»
14 years 3 months ago
Logarithmic edge detection with applications
—In real world machine vision problems, numerous issues such as variable scene illumination make edge and object detection difficult. There exists no universal edge detection met...
Eric J. Wharton, Karen Panetta, Sos S. Agaian
VLDB
1998
ACM
120views Database» more  VLDB 1998»
14 years 1 months ago
KODA - The Architecture And Interface of a Data Model Independent Kernel
In this paper we describe the architecture and interface of KODA, a production strength database kernel. KODA is unique in the industry in its ability to support two different dat...
Gopalan Arun, Ashok Joshi
JMLR
2011
157views more  JMLR 2011»
13 years 3 months ago
Variable Sparsity Kernel Learning
This paper1 presents novel algorithms and applications for a particular class of mixed-norm regularization based Multiple Kernel Learning (MKL) formulations. The formulations assu...
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattac...
IROS
2007
IEEE
109views Robotics» more  IROS 2007»
14 years 3 months ago
Fast vision-based minimum distance determination between known and unkown objects
Abstract – We present a method for quickly determining the minimum distance between multiple known and multiple unkown objects within a camera image. Known objects are objects wi...
Stefan Kuhn, Dominik Henrich
BMVC
2001
13 years 11 months ago
Hierarchical Combination of Object Models using Mutual Information
Combining different and complementary object models promises to increase the robustness and generality of today’s computer vision algorithms. This paper introduces a new method ...
Hannes Kruppa, Bernt Schiele