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PET
2012
Springer
7 years 19 days ago
Understanding Statistical Disclosure: A Least Squares Approach
It is widely accepted that Disclosure Attacks are effective against high-latency anonymous communication systems. A number of Disclosure Attack variants can be found in the litera...
Fernando Pérez-González, Carmela Tro...
PAMI
2012
7 years 19 days ago
Angular Embedding: A Robust Quadratic Criterion
Abstract—Given the size and confidence of pairwise local orderings, angular embedding (AE) finds a global ordering with a nearglobal optimal eigensolution. As a quadratic crite...
Stella Yu
ICCV
2011
IEEE
7 years 10 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic
HCI
2011
8 years 1 months ago
Pen Tip Position Estimation Using Least Square Sphere Fitting for Customized Attachments of Haptic Device
In this paper, a method for estimating the pen tip position of customized haptic device attachments is presented. Least squares sphere fitting is applied to the acquired point clou...
Masanao Koeda, Masahiko Kato
PRL
2008
124views more  PRL 2008»
8 years 10 months ago
Matrix-pattern-oriented least squares support vector classifier with AdaBoost
: Matrix-pattern-oriented Least Squares Support Vector Classifier (MatLSSVC) can directly classify matrix patterns and has a superior classification performance than its vector ver...
Zhe Wang, Songcan Chen
AIA
2007
8 years 11 months ago
Improving the aggregating algorithm for regression
Kernel Ridge Regression (KRR) and the recently developed Kernel Aggregating Algorithm for Regression (KAAR) are regression methods based on Least Squares. KAAR has theoretical adv...
Steven Busuttil, Yuri Kalnishkan, Alexander Gammer...
ICASSP
2009
IEEE
9 years 5 months ago
MIMO decoding based on stochastic reconstruction from multiple projections
Least squares (LS) fitting is one of the most fundamental techniques in science and engineering. It is used to estimate parameters from multiple noisy observations. In many probl...
Amir Leshem, Jacob Goldberger
ICPR
2000
IEEE
9 years 11 months ago
Hierarchical Partitioned Least Squares Filter-Bank for Fingerprint Enhancement
Sugata Ghosal, Raghavendra Udupa, Nalini K. Ratha,...

Lecture Notes
4505views
10 years 8 months ago
Numerical Methods Course Notes
"These notes were originally prepared during Fall quarter 2003 for UCSD Math 174, Numerical Methods."
Steven E. Pav

Source Code
2324views
10 years 10 months ago
Newmat C++ matrix library
A great flexible easy to use C++ library that is intended for scientists and engineers. The library supports the following matrix types: Matrix (rectangular matrix), UpperTriangula...
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