2013
Equivalence
of
distance-based
and
RKHS-based
statistics in hypothesis testing
D. Sejdinovic,
B. K. Sriperumbudur, A. Gretton and K. Fukumizu
Annals of Statistics,
2013. To appear [pdf]
On the generalization ability of online learning algorithms for pairwise loss functions
P. Kar, B.
K. Sriperumbudur, P. Jain and H. Karnick
International
Conference
on Machine Learning,
2013. [pdf]
Ultrahigh dimensional feature screening via RKHS embeddings
K. Balasubramanian, B.
K. Sriperumbudur and G. Lebanon
International
Conference
on
Artificial
Intelligence
and
Statistics,
2013. [pdf,supplement]
2012
Optimal
kernel
choice
for
large-scale
two-sample tests
A. Gretton, B.
K. Sriperumbudur, D.
Sejdinovic, H. Strathmann, S. Balakrishnan, M. Pontil and K. Fukumizu
Neural
Information Processing Systems, 2012. [pdf]
On
the empirical estimation of integral
probability
metrics
B. K.
Sriperumbudur, K. Fukumizu, A. Gretton, B.
Scholkopf
and
G. R.
G. Lanckriet
Electronic Journal of Statistics, 6:
1550-1599, 2012. [pdf]
Hypothesis
testing using pairwise distances and associated kernels
D.
Sejdinovic, A. Gretton, B. K.
Sriperumbudur and K. Fukumizu
International
Conference
on
Machine
Learning, 2012.
[pdf]
A proof of
convergence of the concave-convex procedure using Zangwill's theory
B. K.
Sriperumbudur and G. R. G. Lanckriet
Neural
Computation, 24(6): 1391–1407, 2012. [pdf]
Consistency
and
rates for clustering with DBSCAN
B. K.
Sriperumbudur and I. Steinwart
International
Conference
on
Artificial
Intelligence
and
Statistics,
2012.
[pdf,supplement]
2011
Learning
in
Hilbert
vs.
Banach
spaces:
A
measure
embedding
viewpoint
B. K. Sriperumbudur, K. Fukumizu and G. R. G. Lanckriet
Neural
Information Processing Systems, 2011. [pdf]
A
majorization-minimization
approach
to
the
sparse
generalized
eigenvalue
problem
B. K.
Sriperumbudur, D. A. Torres and G. R. G. Lanckriet
Machine
Learning, 85(1):3-39, 2011. [pdf]
Mixture
density estimation via Hilbert space embedding of measures
B. K. Sriperumbudur
International
Symposium
on
Information
Theory,
2011.
[pdf,slides]
Universality,
characteristic
kernels
and
RKHS
embedding
of
measures
B. K.
Sriperumbudur, K.
Fukumizu and G. R.
G. Lanckriet
Journal of Machine Learning Research, 12(Jul): 2389-2410, 2011. [pdf]
2010
Reproducing
kernel
space
embeddings
and
metrics
on
probability
measures
B. K.
Sriperumbudur
Ph. D.
Dissertation, UC San Diego, 2010. [pdf]
Non-parametric
estimation
of
integral
probability
metrics
B. K. Sriperumbudur, K. Fukumizu, A. Gretton, B. Scholkopf
and G. R. G.
Lanckriet
International
Symposium
on
Information
Theory,
2010.
[pdf,slides]
Hilbert
space
embeddings
and
metrics
on
probability
measures
B. K.
Sriperumbudur, A.
Gretton, K.
Fukumizu, B.
Scholkopf and G. R.
G. Lanckriet
Journal of Machine Learning Research, 11(Apr): 1297-1322, 2010. [pdf]
On
the
relation
between
universality,
characteristic
kernels
and
RKHS
embedding
of
measures
B. K. Sriperumbudur, K. Fukumizu and G. R. G.
Lanckriet
International
Conference
on
Artificial
Intelligence
and
Statistics,
2010.
[pdf,slides]
2009
Kernel
choice
and
classifiability
for
RKHS
embeddings
of
probability
distributions
B. K. Sriperumbudur, K. Fukumizu, A. Gretton, G. R. G.
Lanckriet
and
B. Scholkopf
Neural
Information Processing Systems, 2009.
[pdf,slides]
Outstanding student paper award
(Honorable mention)
On the convergence of the concave-convex
procedure
B. K. Sriperumbudur and G. R. G. Lanckriet
Neural
Information Processing Systems, 2009. [pdf]
2nd NIPS Workshop on Optimization for
Machine Learning, 2009.
[slides]
A fast, consistent kernel two-sample test
A. Gretton, K.
Fukumizu,
Z.
Harchaoui and B. K. Sriperumbudur
Neural
Information Processing Systems, 2009.
[pdf,supplement]
Discussion of: Brownian distance covariance
A. Gretton, K.
Fukumizu,
and B. K.
Sriperumbudur
Annals of Applied Statistics, 3(4): 1285-1294, 2009. [pdf]
A
d.c.
programming
approach
to
the
sparse
generalized
eigenvalue
problem
B. K.
Sriperumbudur, D. A. Torres and G. R. G. Lanckriet [arXiv]
2nd NIPS Workshop on
Optimization for Machine Learning, 2009. [pdf,slides]
2008
Charactersitic
kernels
on
groups
and
semigroups
K.
Fukumizu,
B. K. Sriperumbudur, A. Gretton and B. Scholkopf
Neural Information Processing Systems, 2008. [pdf]
RKHS
representation
of
measures
applied
to
homogeneity,
independence
and
Fourier
optics
B. Scholkopf, B. K. Sriperumbudur, A. Gretton and K.
Fukumizu
Oberwolfach Report 30, Mathematisches Forschungsinstitut,
Oberwolfach-Walke, Germany, pp. 42-44, 2008. [pdf]
Non-uniform
speaker
normalization
using
affine
transformation
S. V. Bharath Kumar and S. Umesh
Journal of the Acoustical Society of America, 124(3), pp.
1727-1738, September 2008.
Injective Hilbert space
embeddings of
probability measures
B. K. Sriperumbudur, A. Gretton, K. Fukumizu, G. R. G.
Lanckriet and B. Scholkopf
Conference on Learning Theory, 2008. [pdf,slides]
Metric embedding for kernel classification
rules
B. K. Sriperumbudur, O. Lang and G. R. G. Lanckriet
International
Conference
on
Machine
Learning,
2008. [pdf,slides]
2007
The effect of kernel
choice on RKHS based statistical tests
B. K. Sriperumbudur, A. Gretton, K. Fukumizu and B.
Scholkopf
Representations and Inference on Probability Distributions Workshop,
NIPS 2007. [slides]
Finding musically
meaningful words using sparse CCA
D. A. Torres, D. Turnbull, B. K. Sriperumbudur, L.
Barrington and G. R. G. Lanckriet
Music, Brain and Cognition Workshop, NIPS 2007. [pdf,slides]
Sparse
eigen methods
by d.c. programming
B. K. Sriperumbudur, D. A. Torres and G. R. G. Lanckriet
International
Conference
on
Machine
Learning,
2007. [pdf,slides]
Nearest neighbor prototyping for sparse and
scalable
support vector machines
B. K. Sriperumbudur and G. R. G. Lanckriet
Technical Report,
Dept. of ECE, UCSD, February 2007. [pdf]
2006
Study of
non-linear frequency warping functions for speaker normalization
S. V. Bharath Kumar, S. Umesh and Rohit Sinha
Proc. of IEEE International Conference on Acoustics, Speech and Signal
Processing, 2006. [pdf]
A
framework
for
parameter
optimization
in
mutual
information
based
registration
algorithms
G. Gopalakrishnan, S. V. Bharath Kumar, A. Narayanan and R.
Mullick
Proc. of SPIE Medical Imaging, 2006. [pdf]
2005
A
fast
piece-wise
deformable
method
for
multi-modality
image
registration
G. Gopalakrishnan, S. V. Bharath Kumar, A. Narayanan and R.
Mullick
Proc. of Applied Imagery and Pattern Recognition, 2005.
[pdf]
Lossless volumetric
medical image compression with progressive multi-planar reformatting
using 3-D DPCM
V. Nandedkar, S. V. Bharath Kumar and S. Mukhopadhyay
Proc. of National Conference on Image Processing, 2005. (Best Paper Award) [pdf]
Textural content in 3T
MR: An image-based marker for Alzheimer's disease
S. V. Bharath Kumar, R. Mullick and U. Patil
Proc. of SPIE Medical Imaging, 2005. [pdf]
2004
Non-uniform
speaker
normalization
using
frequency-dependent
scaling
function
S. V. Bharath Kumar and S. Umesh
Proc. of International Conference on Signal Processing and
Communications, 2004. [pdf]
A
texture
analysis
approach
for
automatic
flaw
detection
in
pipelines
S. V. Bharath Kumar and S. Ramaswamy
Proc. of International Conference
on Signal Processing and Communications, 2004. [pdf]
A
novel
progressive
thick
slab
paradigm
for
volumetric
medical
image
compression
and
navigation
S. V. Bharath Kumar, S. Mukhopadhyay and V. Nandedkar
Proc. of IEEE International Conference on Image Processing, 2004. [pdf]
Non-uniform
speaker
normalization
using
affine
transformation
S. V. Bharath Kumar, S. Umesh and R. Sinha
Proc. of IEEE International Conference on Acoustics, Speech and Signal
Processing, 2004. (rated amongst
the top in its
review category) [pdf]
An investigation into
front-end signal processing for speaker normalization
S. Umesh, R. Sinha and S. V. Bharath Kumar
Proc. of IEEE International Conference on Acoustics, Speech and Signal
Processing, Montreal, May 2004. [pdf]
Spatial distribution of
T2 values in the hippocampus of Alzheimer’s disease and control subjects
D. Blezek, S. V. Bharath Kumar, S. Adak, Z. Li, J.
Schenck and E. Zimmerman
Twelfth ISMRM Scientific Meeting and Exhibition, 2004. (Poster)
2003
3-D loss-less
multi-resolution image compression for medical images
S. Mukhopadhyay, S. V. Bharath Kumar, V. Nandedkar
and A. Raparia
RSNA InfoRad presentation, 2003. (Poster)
Block-based conditional
entropy coding for medical image compression
S. V. Bharath Kumar, N. Nagaraj, S. Mukhopadhyay and
X. Xu
Proc. of SPIE Medical Imaging, 2003. [pdf]
2002
A simple approach to
non-uniform vowel normalization
S. Umesh, S. V. Bharath Kumar, M. K. Vinay, R. Sharma and
R. Sinha
Proc. of IEEE International Conference on Acoustics,
Speech and Signal Processing, 2002. [pdf]
A model based approach
to non-uniform vowel normalization
S. V. Bharath Kumar
M. Tech Thesis, Department of EE, IIT-K, 2002. [pdf]
1999
Realization of linear
time-invariant system stability analyzers
S. V. Bharath Kumar
B. Tech Thesis, Department of ECE, SVU, Tirupati, 1999.
|