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From Communications of the ACM

Technical Perspective: Taming the Name Game

In "Learning to Name Objects," the authors offer a method to determine a basic-level category name for an object in an image.

Learning to Name Objects
From Communications of the ACM

Learning to Name Objects

This paper looks at the problem of predicting category labels that mimic how human observers would name objects.

From Communications of the ACM

Technical Perspective: Understanding Pictures of Rooms

The rich world is getting older, so we will see many efforts to build robots that can provide some in-home care for frail people. These robots will need computer...

Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding
From Communications of the ACM

Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding

We address the problem of understanding an indoor scene from a single image in terms of recovering the room geometry (floor, ceiling, and walls) and furniture layout...

From Communications of the ACM

Technical Perspective: Example-Driven Program Synthesis for End-User Programming

As information technology has come to permeate our society, broader classes of users have developed the need for more sophisticated data manipulation and processing...

Spreadsheet Data Manipulation Using Examples
From Communications of the ACM

Spreadsheet Data Manipulation Using Examples

Millions of computer end users need to perform tasks over large spreadsheet data, yet lack the programming knowledge to do such tasks automatically. We present...

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...

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...

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...

Censored Exploration and the Dark Pool Problem
From Communications of the ACM

Censored Exploration and the Dark Pool Problem

The success and proliferation of dark pool stock exchanges have created challenging and interesting problems in algorithmic trading—in particular, the problem of...

From Communications of the ACM

Technical Perspective: Learning to Act in Uncertain Environments

The problem of decision making in an uncertain environment arises in many diverse contexts. The key issue in effectively solving problems...

Toward Robotic Cars
From Communications of the ACM

Toward Robotic Cars

Recent challenges organized by DARPA have induced a significant advance in technology for autopilots for cars; similar to those already used in aircraft and marine...

From Communications of the ACM

Technical Perspective: New Bar Set for Intelligent Vehicles

Sebastian Thrun gives us a glimpse into the design and implementation of two winning DARPA grand challenge entries...

Apprenticeship Learning for Helicopter Control
From Communications of the ACM

Apprenticeship Learning for Helicopter Control

Autonomous helicopter flight is widely regarded to be a highly challenging control problem. As helicopters are highly unstable and exhibit complicated dynamical...

From Communications of the ACM

Technical Perspective: The Ultimate Pilot Program

In one scene from The Matrix, two leaders of the human resistance are trapped on the roof of a skyscraper. The only...

Building Secure Web Applications With Automatic Partitioning
From Communications of the ACM

Building Secure Web Applications With Automatic Partitioning

Swift is a new, principled approach to building Web applications that are secure by construction. Swift automatically partitions application code while providing...

From Communications of the ACM

Technical Perspective: Tools for Information to Flow Securely and Swift-ly

Back in the old days of the Web (before 1995), Web browsers were fairly simple devices. The server's Web interface was simple enough...
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