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Now showing items 81-90 of 136
Capacity Allocation in Wireless LANs
(2004-11-12)
Today's access point based wireless LANs (WLANs) are inefficient and unfair. For many traffic loads they provide far less total throughput than they should, and do a poor job allocating what throughput they do deliver. ...
Regularization Through Feature Knock Out
(2004-11-12)
In this paper, we present and analyze a novel regularization technique based on enhancing our dataset with corrupted copies of the original data. The motivation is that since the learning algorithm lacks information about ...
Cognitive-Developmental Learning for a Humanoid Robot: A Caregiver's Gift
(2004-09-26)
The goal of this work is to build a cognitive system for the humanoid robot, Cog, that exploits human caregivers as catalysts to perceive and learn about actions, objects, scenes, people, and the robot itself. This thesis ...
Make-buy decisions in the face of radical innovations.
(University of Cambridge, 2004-10-26)
Some research in the area of make-buy decisions for new technologies suggests that it is a good
idea for a company to pursue a fairly rigorous “make” policy in the early days of a potentially
disruptive innovation. Other ...
A précis of some recent developments in computational failure mechanics
(International Journal of Numerical Methods in Heat and Fluid FlowInternational Journal of Numerical Methods in Heat and Fluid Flow, 2004)
A concise overview is given of various numerical methods that can be used to analyse localisation and failure in engineering materials. The importance of the cohesive-zone approach is emphasised and various ways of ...
Virtual Visual Hulls: Example-Based 3D Shape Estimation from a Single Silhouette
(2004-01-28)
Recovering a volumetric model of a person, car, or other object of interest from a single snapshot would be useful for many computer graphics applications. 3D model estimation in general is hard, and currently requires ...
Sharing visual features for multiclass and multiview object detection
(2004-04-14)
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifiers to the image, at multiple locations and ...
How People Re-find Information When the Web Changes
(2004-06-18)
This paper investigates how people return to information in a dynamic information environment. For example, a person might want to return to Web content via a link encountered earlier on a Web page, only to learn that the ...
A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration
(2004-04-28)
We formulate and interpret several multi-modal registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implicit assumptions of each method ...
Contextual models for object detection using boosted random fields
(2004-06-25)
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and local ...