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Where Do People Draw Lines?
From Communications of the ACM

Where Do People Draw Lines?

This paper presents the results of a study in which artists made line drawings intended to convey specific 3D shapes.

Wherefore Art Thou R3579X?
From Communications of the ACM

Wherefore Art Thou R3579X?: Anonymized Social Networks, Hidden Patterns, and Structural Steganography

In a social network, nodes correspond to people or other social entities, and edges correspond to social links between them. We describe a family of attacks such...

From Communications of the ACM

Technical Perspective: A Perfect 'Match'

In a breakthrough contribution, the authors of the paper that follows have developed an efficient way to find approximate nearest neighbors for the case of database...

The Patchmatch Randomized Matching Algorithm For Image Manipulation
From Communications of the ACM

The Patchmatch Randomized Matching Algorithm For Image Manipulation

This paper presents a new randomized algorithm for quickly finding approximate nearest neighbor matches between image patches. Our algorithm offers substantial...

From Communications of the ACM

Technical Perspective: Power Efficiency as the #1 Design Constraint

Moore's Law, and associated observations by Bob Dennard, describe key technical...

Understanding Sources of Ineffciency in General-Purpose Chips
From Communications of the ACM

Understanding Sources of Ineffciency in General-Purpose Chips

To better understand what improvement in processor efficiency is possible, we quantify the performance and energy overheads of a 720p HD H.264 encoder running on...

From Communications of the ACM

Technical Perspective: A Better Way to Learn Features

A typical machine learning program uses weighted combinations of features to discriminate between classes or to predict...

Unsupervised Learning of Hierarchical Representations with Convolutional Deep Belief Networks
From Communications of the ACM

Unsupervised Learning of Hierarchical Representations with Convolutional Deep Belief Networks

There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks (DBNs); however, scaling such models to full...

From Communications of the ACM

Technical Perspective: Visual Reconstruction

Nearly 460,000 Flickr pictures were used to create detailed three-dimensional geometry and colors of famous landmarks and...

Building Rome in a Day
From Communications of the ACM

Building Rome in a Day

We present a system that can reconstruct 3D geometry from large, unorganized collections of photographs. Our experimental results demonstrate that it is possible...

Self-Similarity-Based Image Denoising
From Communications of the ACM

Self-Similarity-Based Image Denoising

The search for efficient image denoising methods is still a valid challenge at the crossing of functional analysis and statistics. In spite of the sophistication...

From Communications of the ACM

Technical Perspective: Images Everywhere Looking For Models

About 5,000 images per minute are uploaded to the photo-sharing site http://www.flickr.com/; over...

From Communications of the ACM

Technical Perspective: Complex Financial Products: Caveat Emptor

CDOs are examples of financial derivatives, with a value that depends on the underlying assets with which they are linked. These kinds of complex financial products...

Computational Complexity and Information Asymmetry in Financial Products
From Communications of the ACM

Computational Complexity and Information Asymmetry in Financial Products

Securitization of cash flows using financial derivatives transformed the financial industry over the last three decades. Derivatives...

DRAM Errors in the Wild
From Communications of the ACM

DRAM Errors in the Wild: A Large-Scale Field Study

While a large body of work exists on DRAM in lab conditions, little has been reported on real DRAM failures in large production clusters. In this paper, we analyze...

From Communications of the ACM

Technical Perspective: DRAM Errors in the Wild

In order to advance the field, knowledge of the types of memory errors at the system level, their frequencies, and conditions that exacerbate or are unrelated to...

The Sequence Memoizer
From Communications of the ACM

The Sequence Memoizer

The sequence memoizer is a new hierarchical Bayesian model for discrete sequence data that captures long range dependencies and power-law characteristics, while...

From Communications of the ACM

Technical Perspective: Markov Meets Bayes

The history of probabilistic sequence models dates back to Markov at the turn of the last century. Though informed by decades of research...

Sora: High-Performance Software Radio Using General-Purpose Multi-Core Processors
From Communications of the ACM

Sora: High-Performance Software Radio Using General-Purpose Multi-Core Processors

Sora, a fully programmable software radio platform on commodity PC architectures, combines the performance and fidelity of hardware software-defined radio platforms...

From Communications of the ACM

Technical Perspective: Sora Promises Lasting Impact

The objective of Sora is to build a software defined radio that combines the performance and fidelity of hardware...
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