An Archetypal Analysis on

By C. Ji. 2005

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Citations in the corpus

Prototypal Analysis and Prototypal Regression (2017, methodology): “In the computational procedure we use to minimize Equation 4, we alternate between minimizing over the a and b, which is also the procedure of choice in archetypal analysis (Cutler and Breiman, 1994).”
Fast and Robust Archetypal Analysis for Representation Learning (2014, background): “Our main objective is to rehabilitate a pioneer unsupervised learning technique called archetypal analysis [5], which is easy to interpret while providing good results in prediction tasks.”
Recognizing Actions in 3D Using Action-Snippets and Activated Simplices (2016, background): “Archetypal Analysis (Cutler and Breiman 1994) learns a global convex model for the data which can cause problems if the data is not a convex set.”
Archetypal analysis for machine learning (2010, methodology): “Archetypal analysis (AA) [7] considers the principal convex hull (PCH), i.”
TVSum: Summarizing web videos using titles (2015, methodology): “Unlike archetypal analysis [13, 11], we incorporate a regularization term that penalizes the deviation between the factorizations of video and images with respect to the coarchetypes.”
Introducing Archetypal Analysis for Player Classification in Games (2011, methodology): “Archetypal Analysis (AA) as introduced in [4] applies an alternating least squares procedure where each iteration requires the solution of several constrained quadratic optimization problems.”
Performance Profiles based on Archetypal Athletes (2012, methodology): “This statistical method was first introduced by Cutler and Breiman (1994) and has found applications in different areas, e.g., in economics (Li et al., 2003; Porzio et al., 2008), astrophysics (Chan et al., 2003) and pattern recognition (Bauckhage and Thurau, 2009).”
Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series (2014, methodology): “For k = 1, Cutler and Breiman [1] prove that the only archetype coincides with the sample mean.”
Sparse Modeling for Image and Vision Processing (2014, background): “…and King, 1988, Gersho and Gray, 1992], non-negative matrix factorization (NMF) [Paatero and Tapper, 1994, Lee and Seung, 1999], archetypal analysis [Cutler and Breiman, 1994], or independent component analysis (ICA) [Hérault et al., 1985, Bell and Sejnowski, 1995, 1997, Hyvärinen et al., 2004].”
Archetypical motion: Supervised game behavior learning with Archetypal Analysis (2013, methodology): “For the first part, we identify action primitives using Archetypal Analysis [9] to represent motions as convex mixtures of primitives.”
Making Archetypal Analysis Practical (2009, methodology): “We assume this to be a consequence of the complexity of the algorithm proposed in [1].”
Archetypal analysis: a new way to segment markets based on extreme individuals (2003, methodology): “Archetypal analysis is a statistical technique proposed by Cutler and Breiman (1994).”
Guns, swords and data: Clustering of player behavior in computer games in the wild (2012, methodology): “V. DIMENSIONALITY REDUCTION BY CLUSTERING Unsupervised clustering techniques vary, from clustering algorithms such as k-means and c-means, to low rank methods such as Principal Components Analysis [8] [11] and Non-negative Matrix Factorization [14] [18], and Archetype Analysis (AA) [4] [22] [26].”