We develop an intermediate representation for deformable part models and show that this representation has favorable performance characteristics for multi-class problems when the number of classes is high. Our model uses sparse coding of part filters to represent each filter as a sparse linear combination of shared dictionary elements. This leads to a universal set of parts that are shared amon...

The dual process model of moral judgment (DPM; Greene et al., 2004) argues that such judgments are influenced by both emotion-laden intuition and controlled reasoning. These influences are associated with distinct neural circuitries and different response tendencies. After reanalyzing data from an earlier study, McGuire et al. (2009) questioned the level of support for the dual process model an...

In this paper, we point out some shortcomings of Differential evolution algorithm (DE) with lower search efficiency and advance to the local optimal value easily. Combining with particle swarm algorithm (PSO)’s advantages of convergence rate, we put forward a new hybrid algorithm (DPM) to overcome these shortcomings. Instead of dividing all individuals into two equal size groups, in DPM algorit...

1 We propose a modification to the basic Deterministic Packet Marking (DPM), a promising IP traceback scheme, to handle fragmented traffic. The modification introduces no additional bandwidth overhead, but limited additional memory requirements and processing overhead on the DPM-enabled interface. Index Terms — Security, IP Traceback

After decades of research involving numerous epidemiologic studies and extensive investigations in laboratory animals, a causal relationship between diesel exhaust (DE) exposure and lung cancer has not been conclusively demonstrated. Epidemiologic studies of the transportation industry (trucking, busing, and railroad) show a small elevation in lung cancer incidence (relative risks [RRs] general...

To decrease development costs of aeronautical composite structures, industrials and academic researchers are turning to “virtual testing” methods. help achieve this objective, a new methodology has been developed at the Institut Clément Ader. It is based on complex loading test rig for technological specimens (more representative than usual level coupons) Discrete Ply Model (DPM), model allowin...

It is well known that the Dirichlet process (DP)model and Dirichlet process mixture (DPM) model are sensitive to the specifications of the baseline distribution. Given a sample from a finite population, we perform Bayesian predictive inference about a finite population quantity (e.g., mean) using a DP model. Generally, in many applications a normal distribution is used for the baseline distribu...

An interesting question when training a DPM is: how many latent update iterations are required to saturate detection performance? To answer this question, we look at mAP plotted against latent update iterations. To make the experimental protocol more precise, we briefly review the DPM training procedure. DPM training proceeds through three distinct phases. First, single-component, root-only mod...

Dry powder inhalations (DPIs) have gathered attention as a treatment for respiratory diseases due to the large effective absorption area in human lung. A cascade impactor is generally used investigate inhalation performance of DPIs. For improvement efficiency DPIs, understanding particle motion and deposition behavior lung required. In present study, computer simulations were conducted calculat...

An experimentally obtained polarization curve for the hydrogen evolution reaction on silver in a 0.5 mol dm−3 solution was investigated using an electrochemical curve technique named the differential polarization method (DPM). The exchange current density estimated by the Tafel extrapolation method (TEM) and the DPM were compared and assessed from points of simple and more accurate handling. It...