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ICML
2006
IEEE
16 years 1 months ago
Null space versus orthogonal linear discriminant analysis
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
Jieping Ye, Tao Xiong
176
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POPL
2003
ACM
16 years 1 months ago
Static prediction of heap space usage for first-order functional programs
We show how to efficiently obtain linear a priori bounds on the heap space consumption of first-order functional programs. The analysis takes space reuse by explicit deallocation ...
Martin Hofmann, Steffen Jost
160
Voted
SIGMOD
2005
ACM
105views Database» more  SIGMOD 2005»
16 years 25 days ago
Reference Reconciliation in Complex Information Spaces
Reference reconciliation is the problem of identifying when different references (i.e., sets of attribute values) in a dataset correspond to the same real-world entity. Most previ...
Xin Dong, Alon Y. Halevy, Jayant Madhavan
119
Voted
DAGM
2009
Springer
15 years 7 months ago
Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
Gurman Gill, Martin Levine
134
Voted
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
15 years 6 months ago
Learning Sparse Features in Granular Space for Multi-View Face Detection
In this paper, a novel sparse feature set is introduced into the Adaboost learning framework for multi-view face detection (MVFD), and a learning algorithm based on heuristic sear...
Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao