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» The Kernel Least-Mean-Square Algorithm
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NIPS
2004
15 years 7 months ago
Non-Local Manifold Tangent Learning
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
Yoshua Bengio, Martin Monperrus
CVPR
2006
IEEE
16 years 8 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán
PC
2007
161views Management» more  PC 2007»
15 years 5 months ago
High performance combinatorial algorithm design on the Cell Broadband Engine processor
The Sony–Toshiba–IBM Cell Broadband Engine (Cell/B.E.) is a heterogeneous multicore architecture that consists of a traditional microprocessor (PPE) with eight SIMD co-process...
David A. Bader, Virat Agarwal, Kamesh Madduri, Seu...
CIDR
2011
221views Algorithms» more  CIDR 2011»
14 years 9 months ago
Deuteronomy: Transaction Support for Cloud Data
The Deuteronomy system supports efficient and scalable ACID transactions in the cloud by decomposing functions of a database storage engine kernel into: (a) a transactional compon...
Justin J. Levandoski, David B. Lomet, Mohamed F. M...
ICML
2007
IEEE
16 years 7 months ago
Dimensionality reduction and generalization
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Sofia Mosci, Lorenzo Rosasco, Alessandro Verri