In this article we consider the possibility that plants exhibit anticipatory behavior, a mark of intelligence. If plants are able to anticipate and respond accordingly to varying states of their surroundings, as opposed to merely responding online to environmental contingencies, then such capacity may be in principle testable, and subject to empirical scrutiny. Our main thesis is that adaptive ...

The generation of video content from a small set data representing the features objects has very promising application prospects. This is particularly important in context work MPEG Video Coding for Machine group, where various efforts are being undertaken related to efficient image coding machines and humans. representation feature points well understood by form, which easy understand humans, ...

The resurgence in interest concerning pulse-coded neural nets has led to various attempts to integrate pulse computation schemes in conventional mixed signal VLSI. Of interest is especially the robustness of representing an analogue signal in the phase or duration of a pulsed, quasi-digital signal, as well as the possibility of direct digital manipulation of such an analogue signal. Starting fr...

In this paper, a real-time method that automatically extracts facial feature points is proposed. Based upon this technique, we also present a procedure to encode facial images efficiently. For clarity, the proposed method is divided into analysis part and synthesis part. The analysis part includes face tracking, feature extraction, and pose estimation. All of these procedures are applicable for...

R. Lopez , A. Colmenarez , T. S. Huang Beckman Institute University of Illinois Champaign-Urbana, IL 61801 Email: [email protected] , [email protected] , [email protected] ABSTRACT In the following paper we introduce an algorithm for automatic head tracking using a model-based approach. The input to the system is a 2D video sequence of a head-and-shoulders scene and the output is the traj...

Mass spectrometry (MS) is an important technique for chemical profiling which calculates for a sample a high dimensional histogram-like spectrum. A crucial step of MS data processing is the peak picking which selects peaks containing information about molecules with high concentrations which are of interest in an MS investigation. We present a new procedure of the peak picking based on a sparse...

In this paper a novel method for machine-based black and white films colorization is presented. The kernel of the proposed scheme is a trained artificial neural network which maps the frame pixels from a grayscale space into a color space. We employ the texture coding method to capture the line/texture characteristics of each pixel as its most significant gray scale space feature, and using tha...

Deep feature learning has recently emerged with demonstrated effectiveness in domain adaptation. In this paper, we propose a Deep Nonlinear Feature Coding framework (DNFC) for unsupervised domain adaptation. DNFC builds on the marginalized stacked denoising autoencoder (mSDA) to extract rich deep features. We introduce two new elements to mSDA: domain divergence minimization by Maximum Mean Dis...

Current models of primary visual cortex (V1) include a linear filtering stage followed by a gain control mechanism that explains some of the nonlinear behavior of neurons. The nonlinear stage has been modeled as a divisive normalization in which each input linear response is squared and then divided by a weighted sum of squared linear responses in a certain neighborhood. In this communication, ...

Genome-wide association (GWA) studies provide large amounts of high-dimensional data. GWA studies aim to identify variables that increase the risk for a given phenotype. Univariate examinations have provided some insights, but it appears that most diseases are affected by interactions of multiple factors, which can only be identified through a multivariate analysis. However, multivariate analys...