Results 251 to 260 of about 3,303,661 (290)

Detection of diabetic blindness with Deep-Learning

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020
Diabetes is one of the significant causes of blindness, especially among aged adults. As diabetes increases, the vision starts to deteriorate, which is called as diabetic retinopathy. The longer a person has diabetes and the less the blood sugar is controlled, the higher chance the person has diabetic retinopathy.
Anukriti Singh, Wooyoung Kim
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Blind MMSE-Constrained Multiuser Detection

IEEE Transactions on Vehicular Technology, 2008
In this paper, blind multiuser detection is studied for a direct-sequence (DS) code-division multiple access (CDMA) system with unknown multipath channels. The receiver is designed to follow a minimum mean-square-error (MMSE) form parameterized by a channel-like constraint vector, which is then optimized by the conventional constant modulus algorithm ...
Ping Liu 0003, Zhengyuan Xu
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Blind Noise Level Detection

2012
In this paper we present a new fully automatic algorithm for blind noise level evaluation based on natural image statistics (NIS). Natural images are unprocessed reproductions of a natural scene observed by a human. During its evolution, the Human Visual System has been adjusted to the information encoded in natural images, making images interpreted ...
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A framework for optimal blind watermark detection

Proceedings of the 2001 workshop on Multimedia and security new challenges - MM&Sec '01, 2001
We propose a general framework for blind watermark detection. This framework contains a maximum-likelihood detector that utilizes the probability distribution of the original image. Other watermark detectors in literature are shown to be special cases of this framework.
Trista Pei-Chun Chen, Tsuhan Chen
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Blind Detection Based on Color SIFT

2020
Blind detection algorithm based on keypoints has a small amount of computation and faster speed, however, its accuracy is lower, comparing with blind detection based on block. One factor is that keypoints are extracted in a grayscale image, which leads to loss of the color information of the image.
Tingge Zhu, Jiangbin Zheng 0001, Mingchen Feng, Jinchang Ren, Weihua Liu   +4 more
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Detection of Carriers of Haemophilia: a ‘Blind’ Study

British Journal of Haematology, 1975
Summary. A ‘blind’ study has been made to try to find out if it is possible to diagnose carriers of haemophilia. A group of 34 obligatory carriers of haemophilia were compared with 34 normal women. Levels of factor VIII activity, factor VIII‐related antigen, factor V and ratio of factor VIII activity to factor VIII‐related antigen were measured.
C R, Rizza, I L, Rhymes, D E, Austen, P B, Kernoff, S A, Aroni   +4 more
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Blind Change Detection for Audio Segmentation

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
Automatic segmentation of audio streams according to speaker identities and environmental and channel conditions has become an important preprocessing step for speech recognition, speaker recognition, and audio data mining. In most previous approaches, the automatic segmentation was evaluated in terms of the performance of the final system, like the ...
Mohamed Kamal Omar, Upendra V. Chaudhari, Ganesh N. Ramaswamy   +2 more
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Blind detection of multiple audio watermarks

Proceedings First International Conference on WEB Delivering of Music. WEDELMUSIC 2001, 2001
The paper presents the extension of an audio watermarking approach to the blind detection of multiple watermarks. The underlying statistical watermarking method working in the Fourier domain with different test functions is investigated. The extension of this semiprivate watermarking method to enable blind detection is presented.
Michael Victor Arnold, Zongwei Huang
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Nonlinear group-blind multiuser detection

IEEE Transactions on Communications, 2001
Summary: A nonlinear group-blind technique is developed for joint detection of some given users' data in a CDMA uplink environment with the presence of unknown interference. This method performs the so-called ``slowest-descent search'' over a likelihood function of the desired users, starting from the estimate closest to the unconstrained maximizer of ...
Predrag Spasojevic, Xiaodong Wang 0001, Anders Høst-Madsen   +2 more
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Blind weave detection for woven fabrics

Pattern Analysis and Applications, 2014
For the purpose of textile quality assurance, an algorithmic framework for fully automatic detection of weave patterns in woven fabrics is presented. The proposed method is able to handle fabrics of any rotation, material, and binding. Periodicity features within highly resolved fabric images are found and structured in a compact yarn matrix ...
Dorian Schneider, Dorit Merhof
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