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» Objective reduction using a feature selection technique
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ICDE
2007
IEEE
136views Database» more  ICDE 2007»
16 years 4 months ago
Faceted Browsing over Large Databases of Text-Annotated Objects
We demonstrate a fully working system for multifaceted browsing over large collections of text-annotated data, such as annotated images, that are stored in relational databases. T...
Wisam Dakka, Panagiotis G. Ipeirotis, Kenneth R. W...
ICCV
2007
IEEE
16 years 5 months ago
A Biologically Inspired System for Action Recognition
We present a biologically-motivated system for the recognition of actions from video sequences. The approach builds on recent work on object recognition based on hierarchical feed...
Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso Po...
157
Voted
CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 10 months ago
On Quadratic Programming with a Ratio Objective
Quadratic Programming (QP) is the well-studied problem of maximizing over {−1, 1} values the quadratic form i=j aijxixj. QP captures many known combinatorial optimization proble...
Aditya Bhaskara, Moses Charikar, Rajsekar Manokara...
128
Voted
SMA
2009
ACM
125views Solid Modeling» more  SMA 2009»
15 years 10 months ago
Stable mesh decimation
Current mesh reduction techniques, while numerous, all primarily reduce mesh size by successive element deletion (e.g. edge collapses) with the goal of geometric and topological f...
Chandrajit L. Bajaj, Andrew Gillette, Qin Zhang
130
Voted
ICML
2010
IEEE
15 years 4 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre