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» Hierarchical Penalization
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NIPS
2008
13 years 7 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach
WOWMOM
2005
ACM
129views Multimedia» more  WOWMOM 2005»
13 years 11 months ago
The Wireless Hierarchical Token Bucket: A Channel Aware Scheduler for 802.11 Networks
The paper proposes an architecture for a scheduling algorithm, to be integrated in IEEE 802.11 Access Points (AP), able to take into account, besides the transport service class r...
Rosario Giuseppe Garroppo, Stefano Giordano, Stefa...
NIPS
2003
13 years 7 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
JMLR
2008
110views more  JMLR 2008»
13 years 5 months ago
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Matthias W. Seeger
ICCV
2005
IEEE
14 years 7 months ago
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
Although variational methods are among the most accurate techniques for estimating the optical flow, they have not yet entered the field of real-time vision. Main reason is the gr...
Andrés Bruhn, Joachim Weickert