Results 71 to 80 of about 1,525,474 (355)

Analysis of a biologically-inspired system for real-time object recognition [PDF]

, 2006
We present a biologically-inspired system for real-time, feed-forward object recognition in cluttered scenes. Our system utilizes a vocabulary of very sparse features that are shared between and within different object models.
Aboutalib, Sarah, Murphy-Chutorian, Erik, Triesch, Jochen   +2 more
core  

Identification of novel small molecule inhibitors of ETS transcription factors

FEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla, Zary Forghany, Jin Ma, Johan G. Hollander, Ruta Nachane, Karoly Szuhai, Pancras C. W. Hogendoorn, Peter ten Dijke, Dipen Shah, David A. Baker   +9 more
wiley   +1 more source

Infusion-Net: Inter- and Intra-Weighted Cross-Fusion Network for Multispectral Object Detection

Mathematics, 2022
Object recognition is conducted using red, green, and blue (RGB) images in object recognition studies. However, RGB images in low-light environments or environments where other objects occlude the target objects cause poor object recognition performance.
Jun-Seok Yun, Seon-Hoo Park, Seok Bong Yoo   +2 more
doaj   +1 more source

Statistical Object Recognition [PDF]

, 1993
To be practical, recognition systems must deal with uncertainty. Positions of image features in scenes vary. Features sometimes fail to appear because of unfavorable illumination. In this work, methods of statistical inference are combined with empirical models of uncertainty in order to evaluate and refine hypotheses about the occurrence of a known ...
null William M., III Wells
openaire   +2 more sources

Using Object Affordances to Improve Object Recognition [PDF]

IEEE Transactions on Autonomous Mental Development, 2011
The problem of object recognition has not yet been solved in its general form. The most successful approach to it so far relies on object models obtained by training a statistical method on visual features obtained from camera images. The images must necessarily come from huge visual datasets, in order to circumvent all problems related to changing ...
Castellini C, Tommasi T, NOCETI, NICOLETTA, ODONE, FRANCESCA, Caputo B.   +4 more
openaire   +4 more sources

The Saccharomyces cerevisiae amino acid transporter Lyp1 has a broad substrate spectrum

FEBS Letters, EarlyView.
In Saccharomyces cerevisiae, Yeast Amino acid Transporter family members mediate the import of amino acids, ranging from substrate specialists to generalists. Here, we show that the specialist transporter, Lyp1, has a broader substrate spectrum than previously described, with affinity constants spanning from micromolar to millimolar.
Foteini Karapanagioti, Sebastian Obermaier, Dirk J. Slotboom, Bert Poolman   +3 more
wiley   +1 more source

Evidence for normal novel object recognition abilities in developmental prosopagnosia

Royal Society Open Science, 2020
The issue of the face specificity of recognition deficits in developmental prosopagnosia (DP) is fundamental to the organization of high-level visual memory and has been increasingly debated in recent years.
Regan Fry, Jeremy Wilmer, Isabella Xie, Mieke Verfaellie, Joseph DeGutis   +4 more
doaj   +1 more source

The scene superiority effect: object recognition in the context of natural scenes [PDF]

, 2011
Four experiments investigate the effect of background scene semantics on object recognition. Although past research has found that semantically consistent scene backgrounds can facilitate recognition of a target object, these claims have been challenged
Yao, Richard
core  

CURE-OR: Challenging Unreal and Real Environments for Object Recognition

, 2018
In this paper, we introduce a large-scale, controlled, and multi-platform object recognition dataset denoted as Challenging Unreal and Real Environments for Object Recognition (CURE-OR).
AlRegib, Ghassan, Lee, Jinsol, Temel, Dogancan   +2 more
core   +1 more source

Continual Egocentric Object Recognition

, 2020
We present a framework capable of tackilng the problem of continual object recognition in a setting which resembles that under whichhumans see and learn. This setting has a set of unique characteristics:it assumes an egocentric point-of-view bound to the needs of a singleperson, which implies a relatively low diversity of data and a coldstart with no ...
Luca Erculiani, Fausto Giunchiglia, Andrea Passerini   +2 more
openaire   +2 more sources