21 papers:
STOC-2015-Louis #algorithm #approximate #markov- Hypergraph Markov Operators, Eigenvalues and Approximation Algorithms (AL), pp. 713–722.
ICALP-v1-2015-DoronT #approximate #graph #on the #probability #problem- On the Problem of Approximating the Eigenvalues of Undirected Graphs in Probabilistic Logspace (DD, ATS), pp. 419–431.
DLT-2014-SprungerTEM #sequence- Eigenvalues and Transduction of Morphic Sequences (DS, WT, JE, LSM), pp. 239–251.
STOC-2012-LouisRTV- Many sparse cuts via higher eigenvalues (AL, PR, PT, SV), pp. 1131–1140.
CIKM-2012-ShangJLW #learning- Learning spectral embedding via iterative eigenvalue thresholding (FS, LCJ, YL, FW), pp. 1507–1511.
ICML-2011-JiangR #feature model- Eigenvalue Sensitive Feature Selection (YJ, JR), pp. 89–96.
ICML-2010-ThiaoTA #approach #problem #programming- A DC Programming Approach for Sparse Eigenvalue Problem (MT, PDT, LTHA), pp. 1063–1070.
ICPR-2010-PernekH #polynomial #problem #re-engineering- Perspective Reconstruction and Camera Auto-Calibration as Rectangular Polynomial Eigenvalue Problem (ÁP, LH), pp. 49–52.
STOC-2009-Trevisan- Max cut and the smallest eigenvalue (LT), pp. 263–272.
ICML-2009-SunJY #machine learning #problem- A least squares formulation for a class of generalized eigenvalue problems in machine learning (LS, SJ, JY), pp. 977–984.
DATE-2006-LiuBCLM #architecture #hardware #performance- Hardware efficient architectures for Eigenvalue computation (YL, CSB, PYKC, PHWL, SJM), pp. 953–958.
ICML-2005-WalderCS #modelling #problem- Implicit surface modelling as an eigenvalue problem (CW, OC, BS), pp. 936–939.
STOC-2004-Kelner #bound #clustering #graph- Spectral partitioning, eigenvalue bounds, and circle packings for graphs of bounded genus (JAK), pp. 455–464.
STOC-2003-Friedman #proving- A proof of Alon’s second eigenvalue conjecture (JF), pp. 720–724.
HPDC-2002-McCombsS #clustering #network #parallel- Multigrain Parallelism for Eigenvalue Computations on Networks of Clusters (JRM, AS), pp. 143–149.
ICPR-v2-2000-IwamuraOA #estimation #fault- A Modification of Eigenvalues to Compensate Estimation Errors of Eigenvectors (MI, SO, HA), pp. 2378–2381.
ICPR-v3-2000-ChantlerM #classification #invariant #on the- On the Use of Gradient Space Eigenvalues for Rotation Invariant Texture Classification (MJC, GM), pp. 3943–3946.
STOC-1997-ChungY #graph- Eigenvalues, Flows and Separators of Graphs (FRKC, STY), p. 749.
STOC-1993-WigdersonZ #bound- Expanders that beat the eigenvalue bound: explicit construction and applications (AW, DZ), pp. 245–251.
STOC-1989-FriedmanKS #graph #on the #random- On the Second Eigenvalue in Random Regular Graphs (JF, JK, ES), pp. 587–598.
STOC-1982-BabaiGM #bound #graph #morphism #multi- Isomorphism of Graphs with Bounded Eigenvalue Multiplicity (LB, DYG, DMM), pp. 310–324.