Transfer learning has become a popular method for leveraging pre-trained models in
computer vision. However, without performing computationally expensive fine-tuning, it is …

The topic of the thesis is content-based retrieval of 3D-models by shape-similarity. In our 3D
model retrieval system a model, a polygonal mesh, serves as a query and similar objects are …

This paper presents first steps toward a large vocabulary continuous speech recognition
system (LVCSR) for conversational Mandarin-English code-switching (CS) speech. We …

The search of a small acoustic feature set for emotion recognition faces three main
challenges. Such a feature set must be robust to large diversity of contexts in real-life …

(57) ABSTRACT A Set of Speaker dependent models or adapted models is trained upon a
comparatively large number of training Speakers, one model per Speaker, and model …

This paper presents several acoustic analyses carried out on read speech collected from
Italian children aged from 7 to 13 years and North American children aged from 5 to 17 …

Images obtained with coherent illumination, as is the case of sonar, ultrasound-B, laser, and
synthetic aperture radar, are affected by speckle noise which reduces the ability to extract …

Interpreters face two main challenges in seismic facies analysis. The first challenge is to
define, or “label,” the facies of interest. The second challenge is to select a suite of attributes …

A phoneme is the smallest perceptually distinct sound unit that can be distinguished among
words in a particular language. Every language has its own set of phonemes, and all …

For engineering applications of guided-wave-based online structural damage detection,
dealing with uncertainty caused by time-varying conditions (TVCs) is an issue of …