Sciweavers

540 search results - page 89 / 108
» Comparing distributions and shapes using the kernel distance
Sort
View
ECAI
2004
Springer
15 years 2 months ago
A Generalized Quadratic Loss for Support Vector Machines
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
Filippo Portera, Alessandro Sperduti
BMCBI
2005
251views more  BMCBI 2005»
14 years 9 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
EUROPAR
2010
Springer
14 years 9 months ago
Power-Efficient Spilling Techniques for Chip Multiprocessors
Abstract. Current trends in CMPs indicate that the core count will increase in the near future. One of the main performance limiters of these forthcoming microarchitectures is the ...
Enric Herrero, José González, Ramon ...
CVPR
2000
IEEE
15 years 11 months ago
Improving Visual Matching
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared di erences ...
Michael S. Lew, Nicu Sebe, Thomas S. Huang
VLDB
1998
ACM
312views Database» more  VLDB 1998»
15 years 1 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...