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ECCV
2010
Springer
13 years 9 months ago
Improving the Fisher Kernel for Large-Scale Image Classification
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...
IWMM
2007
Springer
146views Hardware» more  IWMM 2007»
14 years 1 months ago
Allocation-phase aware thread scheduling policies to improve garbage collection performance
Past studies have shown that objects are created and then die in phases. Thus, one way to sustain good garbage collection efficiency is to have a large enough heap to allow many ...
Feng Xian, Witawas Srisa-an, Hong Jiang
AES
2007
Springer
75views Cryptology» more  AES 2007»
13 years 8 months ago
Improved FVM for two-layer shallow-water models: Application to the Strait of Gibraltar
This paper deals with the numerical simulation of flows of stratified fluids through channels with irregular geometry. Channel crosssections are supposed to be symmetric but no...
Manuel Jose Castro Díaz, José A. Gar...
CVPR
2008
IEEE
14 years 9 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
BMVC
2010
13 years 5 months ago
Generalized RBF feature maps for Efficient Detection
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...