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One-Shot Learning with a Hierarchical Nonparametric Bayesian Model
(2010-10-13)
We develop a hierarchical Bayesian model that learns to learn categories from single training examples. The model transfers acquired knowledge from previously learned categories to a novel category, in the form of a prior ...
Verification of Semantic Commutativity Conditions and Inverse Operations on Linked Data Structures
(2010-12-03)
Commuting operations play a critical role in many parallel computing systems. We present a new technique for verifying commutativity conditions, which are logical formulas that characterize when operations commute. Because ...
From primal templates to invariant recognition
(2010-12-04)
We can immediately recognize novel objects seen only once before -- in different positions on the retina and at different scales (distances). Is this ability hardwired by our genes or learned during development -- and ...
Conservative Rationalizability and The Second-Knowledge Mechanism
(2010-12-20)
In mechanism design, the traditional way of modeling the players' incomplete information about their opponents is "assuming a Bayesian." This assumption, however, is very strong and does not hold in many real applications. ...
Conservative-Bayesian Mechanism Design
(2010-12-20)
Classical Bayesian mechanism design is "centralized," that is, the designer is assumed to know the distribution D from which the players' type profile has been drawn. We instead investigate a very "decentralized" Bayesian ...
MOOS-IvP Autonomy Tools Users Manual Release 4.2.1
(2011-07-28)
This document describes 19 MOOS-IvP autonomy tools. uHelmScope provides a run-time scoping window into the state of an active IvP Helm executing its mission. pMarineViewer is a geo-based GUI tool for rendering marine ...
An Overview of MOOS-IvP and a Users Guide to the IvP Helm - Release 4.2.1
(2011-08-03)
This document describes the IvP Helm - an Open Source behavior-based autonomy application for unmanned vehicles. IvP is short for interval programming - a technique for representing and solving multi-objective optimizations ...
A hypothesis-based algorithm for planning and control in non-Gaussian belief spaces
(2011-08-27)
We consider the partially observable control problem where it is potentially necessary to perform complex information-gathering operations in order to localize state. One approach to solving these problems is to create ...
Tragedy of the routing table: An analysis of collective action amongst Internet network operators
(2011-08-06)
This thesis analyzes and discusses the effectiveness of social efforts to achieve collective action amongst Internet network operators in order to manage the growth of the Internet routing table. The size and rate of growth ...
Learning and disrupting invariance in visual recognition
(2011-09-10)
Learning by temporal association rules such as Foldiak's trace rule is an attractive hypothesis that explains the development of invariance in visual recognition. Consistent with these rules, several recent experiments ...