ChIP-chip: Data, Model, and Analysis (2005)
Zheng, Ming, Barrera, Leah O., Ren, Bing, Wu, Ying N
ChIP-chip (or ChIP-on-chip) is a technology for isolation and identification of genomic sites occupied by specific DNA binding proteins in living cells. The ChIP-chip data can be obtained over the...
Li, Jinhui, Yang, Xiaowei, Wu, Ying N, Shoptaw, Steven
In biomedical research with longitudinal designs, missing values due to intermittent nonresponse or premature withdrawal are usually 'nonignorable' in the sense that un- observed values are related...
Primal Sketch: Integrating Texture and Structure (2005)
Guo, Cheng-en, Zhu, Song-Chun, Wu, Ying N
Following Marr's insight, we propose a generative image representation called primal sketch, which integrates two modeling components. The first component explains the structural part of an image,...
Wu, Ying N, Guo, Cheng-en, Zhu, Song C.
Vision can be posed as a statistical learning and inference problem. As an over-simplified account, let W be a description of the outside scene in terms of ìwhat is where,î let I be the retina...
From Information Scaling of Natural Images to Regimes of Statistical Models (2004)
Wu, Ying N, Zhu, Song-Chun, Guo, Cheng-en
Computer vision can be considered a highly specialized data collection and data analysis problem. We need to understand the special properties of image data in order to construct statistical models...
Modeling Visual Patterns by Intergrating Descriptive and Generative Methods (2002)
Guo, Cheng E, Zhu, Song C, Wu, Ying N
This paper presents a class of statistical models that integrate two statistical modeling paradigms in the literature: I) Descriptive methods, such as Markov random fields and minimax entropy...
Doretto, Gianfranco, Chiuso, Alessandro, Wu, Ying N, Soatto, Stefano
Dynamic textures are sequences of images of moving scenes that exhibit certain stationarity properties in time; these include sea-waves, smoke, foliage, whirlwind etc. We present a novel...
A Null-space Algorithm for Overcomplete Independent Component Analysis (2002)
Independent component analysis (ICA) is an important method for blind source separation and unsupervised learning. Recently, the method has been extended to the overcomplete situation where the...
Statistical Modeling of Texture Sketch (2002)
Wu, Ying N, Zhu, Song Chun, Guo, Cheng-en
Recent results on sparse coding and independent component analysis suggest that human vision first represents a visual image by a linear superposition of a relatively small number of localized...
Zhu, Song C, Guo, Cheng-en, Wu, Ying N, Wang, Yizhou
Textons refer to fundamental micro-structures in generic natural images and thus constitute the basic elements in early (pre-attentive) visual perception. However, the word "textong" remains a vague...
Statistical Modeling of Texture Sketch (2002)
Wu, Ying N, Zhu, Song C, Guo, Cheng-en
Recent results on sparse coding and independent component analysis suggest that human vision first represents a visual image by a linear superposition of a relatively small number of localized...
Zhu, Song C, Guo, Cheng-en, Wu, Ying N, Wang, Yizhou
Textons refer to fundamental micro-structures in generic natural images and thus constitute the basic elements in early (pre-attentive) visual perception. However, the word "textong"...
Doretto, Gianfranco, Chiuso, Alessandro, Wu, Ying N, Soatto, Stefano
Dynamic textures are sequences of images of moving scenes that exhibit certain stationarity properties in time; these include sea-waves, smoke, foliage, whirlwind etc. We present a novel...
Visual Learning by Integrating Descriptive and Generative Methods (2000)
Guo, Cheng-en, Zhu, Song Chun, Wu, Ying N
This paper presents a mathematical framework for visual learning that integrates two popular statistical learning paradigms in the literature: I) Descriptive learning, such as Markov random fields...
Discussion of "The Art of Data Augmentation" by van Dyk and Meng (2000)
We have learned a lot from studying the sequence of artful works of the two authors on EM/data augmentation. In this note, we will discuss some of our thoughts (or rather speculations) on the problem...
Discussion of "The Art of Data Augmentation" by van Dyk D and Meng XL (2000)
We have learned a lot from studying the sequence of artful works of the two authors on EM/data augmentation. In this note, we will discuss some of our thoughts (or rather speculations) on the problem...
Doretto, Gianfranco, Pundir, Prabhakar, Wu, Ying N, Soatto, Stefano
Dynamic textures are sequences of images of moving scenes that exhibit certain stationariety properties in space and time; these include sea-waves, smoke, foliage, whirlwinds etc. We present a novel...
Visual Learning by Integrating Descriptive and Generative Methods (2000)
Guo, Cheng-en, Zhu, Song Chun, Wu, Ying N
This paper presents a mathematical framework for visual learning that integrates two popular statistical learning paradigms in the literature: I) Descriptive learning, such as Markov random fields...