Concept

Feature engineering

Related publications (325)

Tracter: A Lightweight Dataflow Framework

Philip Neil Garner, John David Scott Dines

Tracter is introduced as a dataflow framework particularly useful for speech recognition. It is designed to work on-line in real-time as well as off-line, and is the feature extraction means for the Juicer transducer based decoder. This paper places Tracte ...

2010

Tracter: A Lightweight Dataflow Framework

Philip Neil Garner, John David Scott Dines

Idiap2010

Multi-layer Boosting for Pattern Recognition

François Fleuret

We extend the standard boosting procedure to train a two-layer classifier dedicated to handwritten char- acter recognition. The scheme we propose relies on a hidden layer which extracts feature vectors on a fixed number of points of interest, and an output ...

2009

Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

We present a new feature extraction technique for phoneme recognition that uses short-term spectral envelope and modulation frequency features. These features are derived from sub-band temporal envelopes of speech estimated using Frequency Domain Linear Pr ...

Idiap2009

A Probabilistic Temporal Model for Joint Attribute Extraction and Behavior Recognition

Jean-Philippe Thiran, Laura Ioana Gui

The focus of this paper is on the recognition of single object behavior from monocular image sequences. The general literature trend is to perform behavior recognition separately after an initial phase of feature/attribute extraction. We propose a framewor ...

2009

Improved Phone Posterior Estimation Through k-NN and MLP-Based Similarity

Benjamin Picart

In this work, we investigate the possible use of k-nearest neighbour (kNN) classifiers to perform frame-based acoustic phonetic classification, hence replacing Gaussian Mixture Models (GMM) or MultiLayer Perceptrons (MLP) used in standard Hidden Markov Mod ...

Idiap2009

Joint Pose Estimator and Feature Learning for Object Detection

Pascal Fua, François Fleuret, Karim Ali, David Hasler

A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, and instead learns a single classifier that has the inherent ability to deform ba ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Information theoretic feature extraction for audio-visual speech recognition

Jean-Philippe Thiran, Mihai Gurban

The problem of feature selection has been thoroughly analyzed in the context of pattern classification, with the purpose of avoiding the curse of dimensionality. However, in the context of multimodal signal processing, this problem has been studied less. O ...

2009

SELECTING RELEVANT VISUAL FEATURES FOR SPEECHREADING

Jean-Philippe Thiran, Mihai Gurban, Virginia Estellers Casas

A quantitative measure of relevance is proposed for the task of constructing visual feature sets which are at the same time relevant and compact. A feature's relevance is given by the amount of information that it contains about the problem, while compactn ...

2009

Fast Hand Gesture Recognition based on Saliency Maps: An Application to Interactive Robotic Marionette Playing

Mostafa Ajallooeian

In this paper, we propose a fast algorithm for gesture recognition based on the saliency maps of visual attention. A tuned saliency-based model of visual attention is used to find potential hand regions in video frames. To obtain the overall movement of th ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

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