Sciweavers

1794 search results - page 213 / 359
» Streaming Algorithms for Data in Motion
Sort
View
APPROX
2011
Springer
197views Algorithms» more  APPROX 2011»
14 years 5 months ago
Periodicity and Cyclic Shifts via Linear Sketches
We consider the problem of identifying periodic trends in data streams. We say a signal a ∈ Rn is p-periodic if ai = ai+p for all i ∈ [n − p]. Recently, Erg¨un et al. [4] pr...
Michael S. Crouch, Andrew McGregor
140
Voted
JIRS
2006
131views more  JIRS 2006»
15 years 5 months ago
Inverse Kinematics of Human Arm Based on Multisensor Data Integration
The paper considers a technique for computation of the inverse kinematic model of the human arm. The approach is based on measurements of the hand position and orientation as well ...
Matjaz Mihelj
JMLR
2012
13 years 7 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
157
Voted
IJSM
2006
89views more  IJSM 2006»
15 years 5 months ago
Temporal Coherence in Bounding Volume Hierarchies for Collision Detection
Collision detection is a fundamental problem in computer graphics. In this paper, temporal coherence is studied and an algorithm exploiting it for bounding volume hierarchies, is ...
Oren Tropp, Ayellet Tal, Ilan Shimshoni, David P. ...
142
Voted
JMLR
2010
154views more  JMLR 2010»
14 years 12 months ago
MOA: Massive Online Analysis
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernha...