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ICCV
2007
IEEE
14 years 9 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
ISCAS
2006
IEEE
145views Hardware» more  ISCAS 2006»
14 years 1 months ago
The wordlength determination problem of linear time invariant systems with multiple outputs - a geometric programming approach
This paper proposes two new methods for optimizing objectives and constraints. The GP approach is very general and hardware resources in finite wordlength implementation of it allo...
S. C. Chan, K. M. Tsui
JUCS
2007
95views more  JUCS 2007»
13 years 7 months ago
Using Place Invariants and Test Point Placement to Isolate Faults in Discrete Event Systems
: This paper describes a method of using Petri net P-invariants in system diagnosis. To model this process a net oriented fault classification is presented. Hence, the considered d...
Iwan Tabakow
BMCBI
2004
162views more  BMCBI 2004»
13 years 7 months ago
Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: binary feature versus invariant m
Background: Modern developmental biology relies heavily on the analysis of embryonic gene expression patterns. Investigators manually inspect hundreds or thousands of expression p...
Rajalakshmi Gurunathan, Bernard Van Emden, Sethura...
ECOOP
2012
Springer
11 years 10 months ago
Static Detection of Loop-Invariant Data Structures
As a culture, object-orientation encourages programmers to create objects, both short- and long-lived, without concern for cost. Excessive object creation and initialization can ca...
Guoqing (Harry) Xu, Dacong Yan, Atanas Rountev