نتایج جستجو برای: level feature

تعداد نتایج: 1283638  

Journal: :Research in Computing Science 2015
Humberto Pérez Espinosa José Martín Pérez-Martínez José Ángel Durán-Reynoso Verónica Reyes-Meza

In this study, we present the results of classification experiments of induced dog barks in different contexts of behaviour. We applied four validation schemes to trained models in order to determine the level of individuals dependency for context classification. We did an analysis based on feature selection techniques to determine the best acoustic low-level descriptors for this task. Results ...

Journal: :AI Magazine 1991
William Lim Philip Kahn Daphna Weinshall Andrew Blake

The AAAI-90 Workshop on Qualitative Vision was organized into seven sessions, with each session focusing on a specific topic. The first session was on the approaches and psychophysical bases of qualitative vision, addressing the question of what is qualitative vision. The second session presented work on motion and navigation. The topics of the next four sessions were qualitative shape extracti...

2009
Xiangyang Xue Yingbin Zheng Hong Liu Zhaohui Wen Xiaochuan Guo Renzhong Wei Hong Lu Qi Zhang

For high-level feature extraction, we submitted 4 automatic runs: Fudan.Global: this run is based on global features of keyframes. Fudan.Local: this run is based on local features of keyframes. Fudan.Rerank: this run is based on local features and spatial information of keyframes. Fudan.Fusion: this run is based on the fusion of global and local features of keyframes. Focus of our system was on...

Journal: :CoRR 2016
Sriseshan Srikanth Bobin Deng Thomas M. Conte

The idea of computational error correction has been around for over half a century. The motivation has largely been to mitigate unreliable devices, manufacturing defects or harsh environments, primarily as a mandatory measure to preserve reliability, or more recently, as a means to lower energy by allowing soft errors to occasionally creep. While residue codes have shown great promise for this ...

2011
Sami Keronen Jouni Pohjalainen Paavo Alku Mikko Kurimo

This paper introduces extended weighted linear prediction (XLP) to noise robust short-time spectrum analysis in the feature extraction process of a speech recognition system. XLP is a generalization of standard linear prediction (LP) and temporally weighted linear prediction (WLP) which have already been applied to noise robust speech recognition with good results. With XLP, higher controllabil...

Journal: :IJMDEM 2012
Robert Mertens Po-Sen Huang Luke R. Gottlieb Gerald Friedland Ajay Divakaran Mark Hasegawa-Johnson

A video‘s soundtrack is usually highly correlated to its content. Hence, audio-based techniques have recently emerged as a means for video concept detection complementary to visual analysis. Most state-of-the-art approaches rely on manual definition of predefined sound concepts such as “engine sounds”, “outdoor/indoor sounds”. These approaches come with three major drawbacks: manual definitions...

2008
Ken Ishihara Yuuta Sakai

In this paper, first we describe rushes summarization system which is made this year for the TRECVID2008 BBC rushes task. Our aim this year is to build up base system using minimum information and to see how it works. In the second we will describe about our High-level feature extraction system briefly.

1994
Matthew Hurst

This paper describes a reversible resolution method based on proof procedures. A monotonic semantics is given for a subset of the Core Language Engine (CLE)’s quasi-logical form (QLF) [AC92] which defines a relation (CAT ) realised by a series of declarative statements describing possible resolutions for terms. The application of paraphrasing is used to demonstrate the method in a useful functi...

Journal: :Electr. Notes Theor. Comput. Sci. 2002
Stuart Anderson John Power Konstantinos Tourlas

Computing system representations based on Harel's notion of hierarchical graph, or higraph, have become popular since the invention of Statecharts. Such hierarchical representations support a useful ltering operation, called \zooming-out", which is used to manage the level of detail presented to the user designing or reasoning about a large and complex system. In the framework of (lightweight) ...

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