International Computer Science Institute

A scalable content-addressable network

Hash tables - which map "keys" onto "values" - are an essential building block in modern software systems. We believe a similar functionality would be equally valuable to large ...

Dynamic Graph CNN for Learning on Point Clouds

Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition ...

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Neural net classifiers trained on data with annotated class labels can also capture apparent visual similarity among categories without being directed to do so. We study whether...

Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

Estimating Local Ancestry in Admixed Populations

Developments and directions in speech recognition and understanding, Part 1 [DSP Education]

To advance research, it is important to identify promising future research directions, especially those that have not been adequately pursued or funded in the past. The working ...

Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction

Recognizing objects in fine-grained domains can be extremely challenging due to the subtle differences between subcategories. Discriminative markings are often highly localized,...

Deep and Wide: Multiple Layers in Automatic Speech Recognition

This paper reviews a line of research carried out over the last decade in speech recognition assisted by discriminatively trained, feedforward networks. The particular focus is ...

Pushing the envelope - aside [speech recognition

Despite successes, there are still significant limitations to speech recognition performance, particularly for conversational speech and/or for speech with significant acoustic ...

Comparing multilayer perceptron to Deep Belief Network Tandem features for robust ASR

In this paper, we extend the work done on integrating multilayer perceptron (MLP) networks with HMM systems via the Tandem approach. In particular, we explore whether the use of...