Results 11 to 20 of about 729,834 (302)
Real-time semantic clothing segmentation [PDF]
, 2012 Clothing segmentation is a challenging field of research which is rapidly gaining attention. This paper presents a system for semantic segmentation of primarily monochromatic clothing and printed/stitched textures in single images or live video.
Cushen, George, Nixon, Mark S.
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Online Segment to Segment Neural Transduction [PDF]
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, 2016 We introduce an online neural sequence to sequence model that learns to alternate between encoding and decoding segments of the input as it is read. By independently tracking the encoding and decoding representations our algorithm permits exact polynomial marginalization of the latent segmentation during training, and during decoding beam search is ...
Lei Yu 0008, Jan Buys, Phil Blunsom
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Developmental Cell, 2004 The three major taxa with metameric segmentation (annelids, arthropods, and chordates) appear to use three very different molecular strategies to generate segments. However, unexpected similarities are starting to emerge from characterization of pair-rule patterning and segmental border formation.
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Linear Segmentation and Segment Significance
CoRR, 1998 9 pages, US Letter, 4 figures.
Min-Yen Kan +2 more
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Speaker segmentation and clustering [PDF]
, 2008 07.08.13 KB. Ok to add the accepted version to Spiral, Elsevier says ok whlile mandate not enforced.This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding
Kotti, Margarita +5 more
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Automatic texture segmentation for content-based image retrieval application [PDF]
, 2006 In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm.
Fauzi, M.F.A. +3 more
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ClassCut for Unsupervised Class Segmentation [PDF]
, 2010 We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model.
Bogdan Alexe +5 more
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The housing market in Serbia – Segmentation, arbitrage and overvaluation [PDF]
Economic HorizonsThe paper discusses market trends and analyzes the regularities that appear on the Serbian national housing market and regional submarkets. It is assumed that, apart from the common market driving forces, the market for newly constructed houses and the ...
The housing market in Serbia – Segmentation, arbitrage and overvaluation +2 more
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Fracture and Structural Integrity, 2023 A variant of neural network for processing with images is a convolutional neural network (CNN). This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the ...
Akshansh Mishra +4 more
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Toward automated evaluation of interactive segmentation [PDF]
, 2011 We previously described a system for evaluating interactive segmentation by means of user experiments (McGuinness and O’Connor, 2010). This method, while effective, is time-consuming and labor-intensive.
McGuinness, Kevin +4 more
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