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» Classifier Selection Based on Data Complexity Measures
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ICFP
2006
ACM
15 years 10 months ago
Towards an automatic complexity analysis for generic programs
Generic libraries, such as the C++ Standard Template Library (STL), provide flexible, high-performance algorithms and data types, along with functional specifications and performa...
Kyle D. Ross
TIP
2008
169views more  TIP 2008»
14 years 9 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
IAJIT
2010
85views more  IAJIT 2010»
14 years 8 months ago
Hiding Text Information in a Digital Image Based on Entropy Function
: The paper is concerned with hiding information into a digital image, specifically, an English text is used to be hidden into a digital grey-scale image. The purpose of this resea...
Nasser Hamad
ICCV
2003
IEEE
15 years 12 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
DOLAP
1999
ACM
15 years 2 months ago
Aggregation Everywhere: Data Reduction and Transformation in the Phoenix Data Warehouse
This paper describes the Phoenix system, which loads a data warehouse and then reports against it. Between the raw atomic data of the source system and the business measures prese...
Steven Tolkin