Sciweavers

340 search results - page 23 / 68
» Adaptive Kernel Methods Using the Balancing Principle
Sort
View
ICIP
2009
IEEE
13 years 5 months ago
A food image recognition system with Multiple Kernel Learning
Since health care on foods is drawing people's attention recently, a system that can record everyday meals easily is being awaited. In this paper, we propose an automatic foo...
Taichi Joutou, Keiji Yanai
ICCV
2005
IEEE
14 years 1 months ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
ICCAD
1997
IEEE
76views Hardware» more  ICCAD 1997»
13 years 12 months ago
Simulation methods for RF integrated circuits
Abstract — The principles employed in the development of modern RF simulators are introduced and the various techniques currently in use, or expected to be in use in the next few...
Kenneth S. Kundert
PAMI
2010
132views more  PAMI 2010»
13 years 6 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
ROBOCUP
2007
Springer
159views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
High Accuracy Navigation in Unknown Environment Using Adaptive Control
Aiming to reduce cycle time and improving the accuracy on tracking, a modified adaptive control was developed, which adapts autonomously to changing dynamic parameters. The platfor...
Fernando Ribeiro, Ivo Moutinho, Nino Pereira, Fern...