Within an exactly solvable model I discuss an influence of the medium dependent finite width of QGP bags on their equation of state. It is shown that inclusion of such a width allows one to naturally resolve two conceptual problems of the QGP statistical description. On the basis of the proposed simple kinetic model for a sequential decay of heavy QGP bags formed in high energy elementary parti...

One of the most ubiquitous examples of origami is the common paper shopping bag. In a common model of paper folding, there are a finite number of creases, between which the paper must stay rigid and flat, as if made of plastic or metal plates connected by hinges. We show that (maybe surprisingly), the paper shopping bag cannot be flattened under this model using the usual pattern of creases. Th...

In this paper, we develop a multiple instance learning (MIL) algorithm using the dictionary learning framework where the labels are given in the form of positive and negative bags, with each bag containing multiple samples. A positive bag is guaranteed to have only one positive class sample while all the samples in a negative bag belong to the negative class. Given positive and negative bags of...

Multiple instance learning (MIL) is a variation of traditional supervised learning problems where data (referred to as bags) are composed of sub-elements (referred to as instances) and only bag labels are available. MIL has a variety of applications such as content-based image retrieval, text categorization, and medical diagnosis. Most of the previous work for MIL assume that training bags are ...

The National Highway Traffic Safety Administration (NHTSA) has been monitoring and gathering information on air bag related injuries and fatalities in its data collection programs since air bags were introduced. As frontal air bag technology has progressed from barrier certified (a.k.a. first generation) to sled certified (a.k.a redesigned) and to advanced certified air bag systems, there has b...

LONG TERM GOALS Our long term goal is a quantitative understanding of how the ocean and atmosphere interact in the presence of a sea ice cover, on both local and regional scales. Because the greatest uncertainties in this interaction involve the effects of shortwave radiation on the ice and upper ocean, research is focused on processes that control the vertical distribution, storage, and transp...

Three ice cores to bedrock from the Dunde ice cap on the north-central QinghaiTibetan Plateau ofChina provide a detailed record of Holocene and Wisconsin-Wurm late glacial stage (LGS) climate changes in the subtropics. The records reveal that LGS conditions were apparently colder, wetter, and dustier than Holocene conditions. The LGS part of the cores is characterized by more negative 8180 rati...

We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines discriminative unary instance classifiers and pairwise dissimilarity measures. We show that both forces improve the classification performance. Unlike other approaches, MI-CRF considers all bags jointly during training a...

Substances to be purified by dialysis are placed in collodion bags together with a toy "marble" or a bubble of air. The bags are stoppered and placed in glass tubes of a rocking machine. Distilled water of the desired temperature is circulated through the tubes (around the bags) at a rate of about 8 cc. per minute per bag while the machine is in motion. The rolling of the marbles or bubbles cau...

Multiple Instance Learning (MIL) proposes a new paradigm when instance labeling, in the learning step, is not possible or infeasible, by assigning a single label (positive or negative) to a set of instances called bag. In this paper, an operator based on homogeneity of positive bags for MIL is introduced. Our method consists in removing instances from the positives bags according to their simil...