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IJCAI
2001
13 years 10 months ago
Leveraging Data About Users in General in the Learning of Individual User Models
Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
Anthony Jameson, Frank Wittig
CVPR
2008
IEEE
14 years 11 months ago
Boosting ordinal features for accurate and fast iris recognition
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu,...
HPCA
2001
IEEE
14 years 9 months ago
Dynamic Branch Prediction with Perceptrons
This paper presents a new method for branch prediction. The key idea is to use one of the simplest possible neural networks, the perceptron as an alternative to the commonly used ...
Daniel A. Jiménez, Calvin Lin
SIBGRAPI
2007
IEEE
14 years 3 months ago
Seed-Relative Segmentation Robustness of Watershed and Fuzzy Connectedness Approaches
This paper analyzes the robustness issue in three segmentation approaches: the iterative relative fuzzy object extraction, the watershed transforms (WT) by image foresting transfo...
Romaric Audigier, Roberto de Alencar Lotufo
VLSID
2003
IEEE
92views VLSI» more  VLSID 2003»
14 years 9 months ago
Energy Efficient Scheduling for Datapath Synthesis
In this paper, we describe two new algorithms for datapath scheduling which aim at energy reduction while maintaining performance. The proposed algorithms, time constrained and re...
Saraju P. Mohanty, N. Ranganathan