One-shot learning is usually tackled by using generative models or discriminative embeddings. Discriminative methods based on deep learning, which are very effective in other learning scenarios, are ill-suited for one-shot learning as they need large amounts of training data. In this paper, we propose a method to learn the parameters of a deep model in one shot. We construct the learner as a se...

∗ This work is done while the author visiting Microsoft Research China. ABSTRACT The shot based classification and retrieval is very important for video database organization and access. In this paper we present a new approach ‘Nearest Feature Line – NFL’ used in shot retrieval. We look key-frames in shot as feature points to represent the shot in feature space. Lines connecting the feature poi...

Using certain techniques a billiards player can have long series of easy shots — each shot leading to another easy shot— and very high scores. As the usual model for carom billiards assumes a Bernoulli process which does not account for such correlations, it cannot capture this important feature of the game. Modelling carom billiards as a Markov process, the probability to make a shot can be ma...

The effect of several Almen intensities of shot peening on the corrosion behavior, surface roughness, micro hardness profiles, and residual stresses of stainless steel AISI 316 L were investigated. Hydroxyapatite coating (HA) were applied to shot peened materials to improve their corrosion resistance. The corrosion behaviour were studied using potentiodynamic polarization. The electrochemical t...

This paper presents a novel color quantization algorithm for compressed video data. The proposed algorithm extracts discrete cosine (DC) transform coefficients and motion vectors of blocks in a shot to estimate a cumulative color histogram of the shot and, based on the estimated histogram, design a color palette for displaying the video sequence in the shot. It significantly reduces the complex...

One of the remaining challenges for accurate photon diagnostics at X-ray free-electron lasers (FELs) is the shot-to-shot, non-destructive, high-resolution characterization of the FEL pulse spectrum at photon energies between 2 keV and 4 keV, the so-called tender X-ray range. Here, a spectrometer setup is reported, based on the von Hamos geometry and using elastic scattering as a fingerprint of ...

A proper semantic representation for encoding side information is key to the success of zero-shot learning. In this paper, we explore two alternative semantic representations especially for zero-shot human action recognition: textual descriptions of human actions and deep features extracted from still images relevant to human actions. Such side information are accessible on Web with little cost...

The One-Shot Similarity (OSS) kernel [3, 4] has recently been introduced as a means of boosting the performance of face recognition systems. Given two vectors, their One-Shot Similarity score (Fig. 1) reflects the likelihood of each vector belonging to the same class as the other vector and not in a class defined by a fixed set of “negative” examples. In this paper we explore how the One-Shot S...

This year, Indian Institute of Technology, Bombay participated in TRECVID 2005 in the task of shot detection. We observe that, even though large number of available shot detection methods perform well under normal conditions (as evinced by the results at Trecvid for the last couple of years), they fail when there are deliberate or inadvertent lighting variations. This might result in labeling s...

Using certain techniques a billiards player can have long series of easy shots — each shot leading to another easy shot— and very high scores. As the usual model for carom billiards assumes a Bernoulli process which does not account for such correlations, it cannot capture this important feature of the game. Modelling carom billiards as a Markov process, the probability to make a shot can be ma...