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CIBCB
2005
IEEE
15 years 3 months ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
INFORMATICALT
1998
126views more  INFORMATICALT 1998»
14 years 9 months ago
On Local Bandwidth Selection for Density Estimation
This article gives ideas for developing statistics software which can work without user intervention. Some popular methods of bandwidth selection for kernel density estimation (the...
Rimantas Rudzkis, Mindaugas Kavaliauskas
RT
2004
Springer
15 years 3 months ago
Bixels: Picture Samples with Sharp Embedded Boundaries
Pixels store a digital image as a grid of point samples that can reconstruct a limited-bandwidth continuous 2-D source image. Although convenient for anti-aliased display, these b...
Jack Tumblin, Prasun Choudhury
ALT
2004
Springer
15 years 6 months ago
Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
Mark Herbster
CORR
2008
Springer
165views Education» more  CORR 2008»
14 years 9 months ago
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...