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Learning Generic Invariances in Object Recognition: Translation and Scale
(2010-12-30)
Invariance to various transformations is key to object recognition but existing definitions of invariance are somewhat confusing while discussions of invariance are often confused. In this report, we provide an operational ...
EM2: A Scalable Shared-Memory Multicore Architecture
(2010-06-12)
We introduce the Execution Migration Machine (EM2), a novel, scalable shared-memory architecture for large-scale multicores constrained by off-chip memory bandwidth. EM2 reduces cache miss rates, and consequently off-chip ...
Broadcasting in Unreliable Radio Networks
(2010-06-08)
Practitioners agree that unreliable links, which fluctuate between working and not working, are an important characteristic of wireless networks. In contrast, most theoretical models of radio networks fix a static set of ...
Aeolus Reference Manual
(2012-09-14)
This document describes the interface that the Aeolus information flow platform provides for users who are implementing applications using Java. The document explains how the Aeolus features are made available by means of ...
A Gaussian Approximation of Feature Space for Fast Image Similarity
(2012-10-01)
We introduce a fast technique for the robust computation of image similarity. It builds on a re-interpretation of the recent exemplar-based SVM approach, where a linear SVM is trained at a query point and distance is ...
Planning Robust Strategies for Constructing Multi-object Arrangements
(2017-01-30)
A crucial challenge in robotics is achieving reliable results in spite of sensing and control uncertainty. A prominent strategy for dealing with uncertainty is to construct a feedback policy, where actions are chosen as a ...
Toward a Probabilistic Approach to Acquiring Information from Human Partners Using Language
(2012-01-23)
Our goal is to build robots that can robustly interact with humans using natural language. This problem is extremely challenging because human language is filled with ambiguity, and furthermore, the robot's model of the ...
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 ...
Jenga: Harnessing Heterogeneous Memories through Reconfigurable Cache Hierarchies
(2015-12-19)
Conventional memory systems are organized as a rigid hierarchy, with multiple levels of progressively larger and slower memories. Hierarchy allows a simple, fixed design to benefit a wide range of applications, because ...
Distributed Shared State with History Maintenance
(2013-10-08)
Shared mutable state is challenging to maintain in a distributed environment. We develop a technique, based on the Operational Transform, that guides independent agents into producing consistent states through inconsistent ...