Stability and computation of medial axes: a state-of-the-art report
D. Attali, J. Boissonnat, H. Edelsbrunner, in:, Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration, Springer, 2009, pp. 109–125.

Why sex and recombination? 
N.H. Barton, in:, Cold Spring Harbor Symposia on Quantitative Biology, Cold Spring Harbor Laboratory Press, 2009, pp. 187–195.

Combining appearance and motion for human action classification in videos
P. Dhillon, S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 22–29.

Structured prediction by joint kernel support estimation
C. Lampert, M. Blaschko, Machine Learning 77 (2009) 249–269.

Semi-supervised analysis of human fMRI data
M. Blaschko, C. Lampert, A. Bartels, Semi-Supervised Analysis of Human FMRI Data, Berlin Institute of Technology, 2009.

Object localization with global and local context kernels
M. Blaschko, C. Lampert, in:, BMVA Press, 2009, pp. 1–11.

Learning to detect unseen object classes by between-class attribute transfer
C. Lampert, H. Nickisch, S. Harmeling, in:, IEEE, 2009, pp. 951–958.

Kernel Methods in Computer Vision
C. Lampert, Kernel Methods in Computer Vision, now publishers, 2009.

Global connectivity potentials for random field models
S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 818–825.

Detecting objects in large image collections and videos by efficient subimage retrieval
C. Lampert, in:, IEEE, 2009, pp. 987–994.

Efficient subwindow search: A branch and bound framework for object localization
C. Lampert, M. Blaschko, T. Hofmann, IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2009) 2129–2142.

Combining appearance and motion for human action classification in videos
P. Dhillon, S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 22–29.

Active structured learning for high-speed object detection
C. Lampert, J. Peters, in:, Springer, 2009, pp. 221–231.

A high-speed object tracker from off-the-shelf components
C. Lampert, J. Peters, A High-Speed Object Tracker from off-the-Shelf Components, IEEE, 2009.

Spin glass models for a network of real neurons
G. Tkadik, E. Schneidman, M. Berry, W. Bialek, ArXiv q-NC (2009).

The dynamics of adaptation on correlated fitness landscapes
S. Kryazhimskiy, G. Tkadik, J. Plotkin, PNAS 106 (2009) 18638–18643.

Optimizing information flow in small genetic networks
G. Tkadik, A. Walczak, W. Bialek, Physical Review E Statistical Nonlinear and Soft Matter Physics 80 (2009).

Diffusion, dimensionality, and noise in transcriptional regulation
G. Tkadik, W. Bialek, Physical Review E Statistical Nonlinear and Soft Matter Physics 79 (2009).

Cell Biology: Networks, regulation, pathways
G. Tkadik, W. Bialek, in:, R. Meyers (Ed.), Encyclopedia of Complexity and Systems Science, Springer, 2009, pp. 719–741.

Deforming meshes that split and merge
C. Wojtan, N. Thürey, M. Gross, G. Turk, ACM Transactions on Graphics 28 (2009).