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ICML
2006
IEEE
16 years 5 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
POPL
2003
ACM
16 years 5 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
205
Voted
SIGMOD
2005
ACM
105views Database» more  SIGMOD 2005»
16 years 5 months 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
DAGM
2009
Springer
15 years 11 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
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
15 years 11 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