Linear models, which support efficient learning and inference, are the workhorses of statistical machine translation; however, linear decision rules are less attractive from a modeling perspective. In this work, we introduce a technique for learning arbitrary, rule-local, nonlinear feature transforms that improve model expressivity, but do not sacrifice the efficient inference and learning asso...

A robust and precise eye localization method plays a critical role in automatic face recognition system. In this paper, a novel eye localization approach using Log-Gabor transform and integral image is proposed. This method mainly involves three steps: firstly, we adopt the Log-Gabor transform with certain scale and orientation to locate the approximate eye-and-brow region. Secondly, in order t...

We apply two non-parametric methods to test further the hypothesis that log-periodicity characterizes the detrended price trajectory of large financial indices prior to financial crashes or strong corrections. The analysis using the so-called (H, q)-derivative is applied to seven time series ending with the October 1987 crash, the October 1997 correction and the April 2000 crash of the Dow Jone...

Empirical mode decomposition (EMD) algorithm is proposed as an alternative to decompose the log of the magnitude spectrum of the speech signal into its harmonic, envelope and noise components and the harmonic-to-noise ratio is used to summarize the degree of disturbance in the speech signal. The empirical mode decomposition algorithm is a tool for the analysis of multi-component signals. The an...

Fingerprint images that are captured by optical readers usually cannot locate a fingerprint since the rotation and the translation are always together. Considering that both real-time and accurate requirements are need for live applications, this paper presents a novel approach to recognizing a fingerprint based on the core sub-region, which is the area of 100 × 100 pixels surrounding the core ...

fracture system in carbonate reservoirs is very complex. understanding the features of fractures such as dip, strike and the other parameters can help to distinguish the behaviour of reservoir in any exploration and production plan. image log is the best way to investigate feature planes like fracture and bedding. image log in one of drilled well #10x393 of bangestan reservoir in gachsaran oilf...

This paper reports algorithms for computing the log-polar transform (LPT) of a digital image using optimal parameters for use in an active vision system. The LPT is a space-variant mapping similar in form to the human retina, with a central high-resolution fovea and a periphery of radially decreasing resolution. In the past, only cursory attention has been given to the selection of transform pa...

Change detection algorithms play a vital role in overseeing the transformations on the earth surface. Unsupervised change detection has a indispensable role in an immense range of applications like remote sensing, motion detection, environmental monitoring, medical diagnosis, damage assessment, agricultural surveys, surveillance etc In this paper, a novel method for unsupervised change detectio...

A new family of probability distributions βM,N , M = 0 · · ·N, N ∈ N on the unit interval (0, 1] is defined by the Mellin transform. The Mellin transform of βM,N is characterized in terms of products of ratios of Barnes multiple gamma functions, shown to satisfy a functional equation, and a Shintani-type infinite product factorization. The distribution log βM,N is infinitely divisible. If M < N...