Fetching the paper…
Reading the bibliography…
\textit{Drosophila melanogaster} has been established as a model organism for investigating the fundamental principles of developmental gene interactions.
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
B. A. Olshausen et al · 1996
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
R. Tibshirani · 1996
Earlier work this paper cites.
Sparse coding with an overcomplete basis set: A strategy employed by v1?
B. A. Olshausen and D. J. Field · 1997
Earlier work this paper cites.
Online learning and stochastic approximation
L. Bottou · 1998
Earlier work this paper cites.
Atomic decomposition by basis pursuit
S. S. Chen, D. L. Donoho, and M. A. Saunders · 1998
Earlier work this paper cites.
Object recognition from local scale-invariant features
D. G. Lowe · 1999
Earlier work this paper cites.
Systematic determination of patterns of gene expression during Drosophila
P. Tomancak, A. Beaton, R. Weiszmann, E. Kwan, S. Shu, S. E. Lewis, S. Richards, M. Ashburner, V. Hartenstein, S. E. Celniker, and G. M. Rubin · 2002
Earlier work this paper cites.
Optimally sparse representation in general (nonorthogonal) dictionaries via ?1 minimization
D. L. Donoho and M. Elad · 2003
Earlier work this paper cites.
Least angle regression
B. Efron, T. Hastie, I. Johnstone, R. Tibshirani, et al · 2004
Earlier work this paper cites.
Sparse coding of sensory inputs
B. A. Olshausen and D. J. Field · 2004
Earlier work this paper cites.
Signal Recovery by Proximal Forward-Backward Splitting
P. L. Combettes and V. R. Wajs · 2005
Earlier work this paper cites.
Gene regulatory networks for development
M. Levine and E. H. Davidson · 2005
Earlier work this paper cites.
Research resources for drosophila: the expanding universe
K. A. Matthews, T. C. Kaufman, and W. M. Gelbart · 2005
Earlier work this paper cites.
From DNA to diversity : molecular genetics and the evolution of animal design
S. W. Sean Carroll, Jennifer Grenier · 2005
Cited alongside, same era.
FlyBase: anatomical data, images and queries
G. Grumbling, V. Strelets, and The FlyBase Consortium · 2006
Cited alongside, same era.
Efficient sparse coding algorithms
H. Lee, A. Battle, R. Raina, and A. Ng · 2006
Cited alongside, same era.
Efficient auditory coding
E. Smith and M. Lewicki · 2006
Cited alongside, same era.
Global analysis of patterns of gene expression during Drosophila
P. Tomancak, B. Berman, A. Beaton, R. Weiszmann, E. Kwan, V. Hartenstein, S. Celniker, and G. Rubin · 2007
Cited alongside, same era.
Automatic recognition and annotation of gene expression patterns of fly embryos
J. Zhou and H. Peng · 2007
Cited alongside, same era.
Online dictionary learning for sparse coding
J. Mairal, F. Bach, J. Ponce, and G. Sapiro · 2009
Later among the works it cites.
Supervised dictionary learning
J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman · 2009
Later among the works it cites.
Visual exploration of three-dimensional gene expression using physical views and linked abstract views
G. H. Weber, O. Rubel, M.-Y. Huang, A. H. DePace, C. C. Fowlkes, S. V. Keranen, C. L. Luengo Hendriks, H. Hagen, D. W. Knowles, J. Malik, et al · 2009
Later among the works it cites.
Extraction and comparison of gene expression patterns from 2d rna in situ hybridization images
D. L. Mace, N. Varnado, W. Zhang, E. Frise, and U. Ohler · 2010
Later among the works it cites.
Evaluation of pooling operations in convolutional architectures for object recognition
D. Scherer, A. Müller, and S. Behnke · 2010
Later among the works it cites.
13 the tradeoffs of large-scale learning
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Algorithms for sparse linear classifiers in the massive data setting
S. Balakrishnan and D. Madigan · 2008
Cited alongside, same era.
Coordinate Descent Algorithms for Lasso Penalized Regression
T. T. Wu and K. Lange · 2008
Cited alongside, same era.
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
A. Beck and M. Teboulle · 2009
Cited alongside, same era.
Simultaneous analysis of lasso and dantzig selector
P. J. Bickel, Y. Ritov, and A. B. Tsybakov · 2009
Cited alongside, same era.
What is the best multi-stage architecture for object recognition?
K. Jarrett, K. Kavukcuoglu, M. Ranzato, and Y. LeCun · 2009
Cited alongside, same era.
Drosophila gene expression pattern annotation using sparse features and term-term interactions
S. Ji, L. Yuan, Y.-X. Li, Z.-H. Zhou, S. Kumar, and J. Ye · 2009
Cited alongside, same era.
L. Bottou and O. Bousquet · 2011
Later among the works it cites.
Libsvm: a library for support vector machines
C.-C. Chang and C.-J. Lin · 2011
Later among the works it cites.
The importance of encoding versus training with sparse coding and vector quantization
A. Coates and A. Ng · 2011
Later among the works it cites.
Fast approximations to structured sparse coding and applications to object classification
A. Szlam, K. Gregor, and Y. LeCun · 2012
Later among the works it cites.
Strong rules for discarding predictors in lasso-type problems
R. Tibshirani, J. Bien, J. Friedman, T. Hastie, N. Simon, J. Taylor, and R. J. Tibshirani · 2012
Later among the works it cites.
Learning sparse representations for fruit-fly gene expression pattern image annotation and retrieval
L. Yuan, A. Woodard, S. Ji, Y. Jiang, Z.-H. Zhou, S. Kumar, and J. Ye · 2012
Later among the works it cites.
Smooth sparse coding via marginal regression for learning sparse representations
K. Balasubramanian, K. Yu, and G. Lebanon · 2013
Later among the works it cites.
Image-level and group-level models for drosophila gene expression pattern annotation
Q. Sun, S. Muckatira, L. Yuan, S. Ji, S. Newfeld, S. Kumar, and J. Ye · 2013
Later among the works it cites.