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A Robust Amorphous Hierarchy from Persistent Nodes
(2003-05-01)
For a very large network deployed in space with only nearby nodes able to talk to each other, we want to do tasks like robust routing and data storage. One way to organize the network is via a hierarchy, but hierarchies ...
Light Field Morphable Models
(2003-04-18)
Statistical shape and texture appearance models are powerful image representations, but previously had been restricted to 2D or simple 3D shapes. In this paper we present a novel 3D morphable model based on image-based ...
Learning Classes Correlated to a Hierarchy
(2003-05-01)
Trees are a common way of organizing large amounts of information by placing items with similar characteristics near one another in the tree. We introduce a classification problem where a given tree structure gives us ...
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 ...
Learning object segmentation from video data
(2003-09-08)
This memo describes the initial results of a project to create a self-supervised algorithm for learning object segmentation from video data. Developmental psychology and computational experience have demonstrated that the ...
Fast Contour Matching Using Approximate Earth Mover's Distance
(2003-12-05)
Weighted graph matching is a good way to align a pair of shapes represented by a set of descriptive local features; the set of correspondences produced by the minimum cost of matching features from one shape to the features ...
Permutation Tests for Classification
(2003-08-28)
We introduce and explore an approach to estimating statistical significance of classification accuracy, which is particularly useful in scientific applications of machine learning where high dimensionality of the data and ...
RamboNodes for the Metropolitan Ad Hoc Network
(2003-12-17)
We present an algorithm to store data robustly in a large, geographically distributed network by means of localized regions of data storage that move in response to changing conditions. For example, data might migrate away ...
Mobilized ad-hoc networks: A reinforcement learning approach
(2003-12-04)
Research in mobile ad-hoc networks has focused on situations in which nodes have no control over their movements. We investigate an important but overlooked domain in which nodes do have control over their movements. ...